5,668 Information Retrieval jobs in the United States
Information Retrieval Engineer
95199 San Jose, California
Adobe
Posted 3 days ago
Job Viewed
Job Description
Our Company
Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
Our Company
Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Opportunity
We are seeking a highly skilled Information Retrieval Engineer to lead the development and optimization of retrieval systems that power context-aware large language models (LLMs). This role focuses on building robust Retrieval-Augmented Generation (RAG) pipelines to ensure AI agents and applications have access to the most relevant, timely, and high-quality information.
You'll work at the intersection of data engineering, machine learning, and knowledge management-enabling better reasoning, accuracy, and performance for enterprise-grade AI systems.
What you'll Do
RAG System Design
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $162,000 -- $01,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is 162,000 -- 301,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Colorado:
Application Window Notice
There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email or call .
Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
Our Company
Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Opportunity
We are seeking a highly skilled Information Retrieval Engineer to lead the development and optimization of retrieval systems that power context-aware large language models (LLMs). This role focuses on building robust Retrieval-Augmented Generation (RAG) pipelines to ensure AI agents and applications have access to the most relevant, timely, and high-quality information.
You'll work at the intersection of data engineering, machine learning, and knowledge management-enabling better reasoning, accuracy, and performance for enterprise-grade AI systems.
What you'll Do
RAG System Design
- Architect and deploy scalable retrieval pipelines using vector databases (e.g., FAISS, Weaviate, Pinecone, Qdrant)
- Implement semantic search infrastructure and hybrid retrieval systems (semantic + keyword)
- Build ingestion pipelines for both structured and unstructured data sources
- Implement document chunking strategies, embedding generation (e.g., OpenAI, Cohere, HuggingFace), and metadata tagging
- Fine-tune relevance scoring, reranking algorithms, and query understanding mechanisms
- Develop techniques to improve precision/recall for specific business domains or user tasks
- Create and maintain knowledge graphs to support context linking and disambiguation
- Manage data freshness and version control to ensure consistency and reliability of retrieved content
- Design and iterate on context window strategies that improve LLM reasoning (e.g., adaptive injection, task-based retrieval)
- Collaborate with prompt engineers and model developers to align retrieval outputs with downstream model behavior
- Track key retrieval metrics such as accuracy, latency, and fallback rate
- Implement caching, prefetching, and deduplication strategies to optimize system responsiveness
- 4+ years in data engineering, ML infrastructure, or information retrieval
- Experience building and deploying RAG pipelines or semantic search systems
- Strong Python skills and familiarity with retrieval libraries (e.g., Haystack, LangChain, Elasticsearch, Milvus)
- Proficiency with embedding models, vector similarity search, and document indexing
- Familiarity with cloud platforms and MLOps tooling (e.g., Airflow, dbt, Docker)
- Knowledge of graph databases (e.g., Neo4j, TigerGraph) or knowledge graph design
- Experience optimizing retrieval for LLMs (e.g., OpenAI, Anthropic, Mistral)
- Background in IR/NLP, Search Engineering, or Cognitive Computing
- Degree in Computer Science, Information Systems, or a related field
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $162,000 -- $01,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is 162,000 -- 301,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Colorado:
Application Window Notice
There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email or call .
View Now
0
Applied Scientist II - Information Retrieval/Search, AGI
94086 Sunnyvale, California
Amazon
Posted 2 days ago
Job Viewed
Job Description
Description
Want to help develop the next generation of web search to support intelligent assistant products? Join us! We are looking for a talented Applied Scientist to help us develop state-of-the-art, next generation web search capabilities within Amazon AGI.
You will have an opportunity to directly impact the customer experience, design, architecture, and implementation of products that will be used every day by people you know. We're looking for someone passionate about innovating on behalf of customers, who demonstrates strong product ownership and is willing to think in new ways to solve difficult problems. You'll develop novel solutions to challenging technical problems, driving key improvements in our web search capabilities. You'll perform rigorous research, publishing papers in top IR conferences along the way.
Key job responsibilities
Develop state-of-the-art web search technology, including training novel retrieval and ranking models, scaling models and optimizing performance, partnering with engineering to deploy and debug model performance in production, and building and scaling quality training data sets.
Basic Qualifications
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
- Experience building machine learning models or developing algorithms for business application
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Want to help develop the next generation of web search to support intelligent assistant products? Join us! We are looking for a talented Applied Scientist to help us develop state-of-the-art, next generation web search capabilities within Amazon AGI.
You will have an opportunity to directly impact the customer experience, design, architecture, and implementation of products that will be used every day by people you know. We're looking for someone passionate about innovating on behalf of customers, who demonstrates strong product ownership and is willing to think in new ways to solve difficult problems. You'll develop novel solutions to challenging technical problems, driving key improvements in our web search capabilities. You'll perform rigorous research, publishing papers in top IR conferences along the way.
Key job responsibilities
Develop state-of-the-art web search technology, including training novel retrieval and ranking models, scaling models and optimizing performance, partnering with engineering to deploy and debug model performance in production, and building and scaling quality training data sets.
Basic Qualifications
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
- Experience building machine learning models or developing algorithms for business application
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
View Now
1
Technical Program Manager II, Information Retrieval, Core Systems
94086 Sunnyvale, California
Google
Posted 2 days ago
Job Viewed
Job Description
Technical Program Manager II, Information Retrieval, Core Systems
_corporate_fare_ Google _place_ Sunnyvale, CA, USA; New York, NY, USA
**Mid**
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
_info_outline_
XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Sunnyvale, CA, USA; New York, NY, USA** .
**Minimum qualifications:**
+ Bachelor's degree in a technical field, or equivalent practical experience.
+ 2 years of experience in technical program management.
+ Experience with Data Management.
+ Experience with Agile delivery frameworks (e.g., Scrum, Kanban, Scaled Agile Framework (SAFe) or Lean).
**Preferred qualifications:**
+ 2 years of experience managing cross-functional or cross-team projects.
+ Knowledge of AI/ML concepts, including machine learning algorithms, model training, and deployment.
+ Ability to use data to make decisions and drive strategy.
+ Excellent problem-solving and analytical skills.
**About the job**
A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
The Information Retrieval organization at Google is responsible for building infrastructure and services that acquire, understand, index, and serve various types of data. IR techniques are crucial for search engines, question-answering systems, and content generation. The team serves Google's mission by leveraging ML and traditional retrieval technologies to enable retrieval for critical businesses like Search, Lens, Cloud, YouTube, and Shopping.
The Core team builds the technical foundation behind Google's flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google's products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google ( .
**Responsibilities**
+ Collaborate with team members and stakeholders to understand or identify defined work problems and program goals, obtain prioritized deliverables, and discuss program impact.
+ Prioritize program goals, understand and translate other stakeholders' needs into program goals and prioritized deliverables with minimal assistance, and contribute to decisions on prioritizing goals and deliverables.
+ Define the scope of projects and develop, execute, or manage project plans for supported programs.
+ Review key metrics pertaining to a program, monitor potential metric deviations, and define corrective actions for critical deviations.
+ Identify, communicate, and collaborate with stakeholders within one or more teams to drive impact and work toward mutual goals. Build, maintain and enhance business, operational, and management dashboards.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
_corporate_fare_ Google _place_ Sunnyvale, CA, USA; New York, NY, USA
**Mid**
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
_info_outline_
XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Sunnyvale, CA, USA; New York, NY, USA** .
**Minimum qualifications:**
+ Bachelor's degree in a technical field, or equivalent practical experience.
+ 2 years of experience in technical program management.
+ Experience with Data Management.
+ Experience with Agile delivery frameworks (e.g., Scrum, Kanban, Scaled Agile Framework (SAFe) or Lean).
**Preferred qualifications:**
+ 2 years of experience managing cross-functional or cross-team projects.
+ Knowledge of AI/ML concepts, including machine learning algorithms, model training, and deployment.
+ Ability to use data to make decisions and drive strategy.
+ Excellent problem-solving and analytical skills.
**About the job**
A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
The Information Retrieval organization at Google is responsible for building infrastructure and services that acquire, understand, index, and serve various types of data. IR techniques are crucial for search engines, question-answering systems, and content generation. The team serves Google's mission by leveraging ML and traditional retrieval technologies to enable retrieval for critical businesses like Search, Lens, Cloud, YouTube, and Shopping.
The Core team builds the technical foundation behind Google's flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google's products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google ( .
**Responsibilities**
+ Collaborate with team members and stakeholders to understand or identify defined work problems and program goals, obtain prioritized deliverables, and discuss program impact.
+ Prioritize program goals, understand and translate other stakeholders' needs into program goals and prioritized deliverables with minimal assistance, and contribute to decisions on prioritizing goals and deliverables.
+ Define the scope of projects and develop, execute, or manage project plans for supported programs.
+ Review key metrics pertaining to a program, monitor potential metric deviations, and define corrective actions for critical deviations.
+ Identify, communicate, and collaborate with stakeholders within one or more teams to drive impact and work toward mutual goals. Build, maintain and enhance business, operational, and management dashboards.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
View Now
2
Information Retrieval Software Developer - TS/SCI with Polygraph
22095 Herndon, Virginia
General Dynamics Information Technology
Posted 1 day ago
Job Viewed
Job Description
**Req ID:** RQ
**Type of Requisition:** Regular
**Clearance Level Must Be Able to Obtain:** Top Secret SCI + Polygraph
**Public Trust/Other Required:** None
**Job Family:** Software Engineering
**Skills:**
JavaScript,Node.js,Vue.js
**Experience:**
10 + years of related experience
**US Citizenship Required:**
Yes
**Job Description:**
Deliver simple solutions to complex problems as an Information Retrieval Software Developer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. With a career in application development, you'll make the end user's experience your priority and we'll make your career growth ours.
At GDIT, people are our differentiator. As an Information Retrieval Software Developer, you will help ensure today is safe and tomorrow is smarter. Our work depends on a Software Developer joining our team.
**REQUIRED SKILLS:**
+ Experience in developing and refining ranking algorithms and models, designing and implementing indexing and retrieval systems, and collaborating with the data scientist and NLP engineer.
+ Experience with primary languages of Vue, Node.js, Javascript.
+ Front End Skills: Single Page Applications (Vue, JavaScript, TypeScript, CSS, HTML), Responsive Design
+ Back End Skills: Microservices, REST, Node.js, Nest.js - Build Tools: maven, gradle, git, tactical and strategic improvements to large scale Java/J2EE/ products.
+ Documented Experience with DevOps/Platforms: Amazon Web Services (S3, RDS, EC2, ECS, Lambda, SQS, SNS, CloudFormation, etc.).
+ Demonstrated experience with developing in Ruby/Ruby on Rails; - CI/CD: Jenkins, Artifactory, Docker, Kubernetes.
+ Excellent knowledge of relational databases (PostgreSQL, Oracle), SQL and ORM technologies (JPA2, Hibernate).
**WHAT YOU'LL NEED TO SUCCEED:**
+ **Education:** BA/BS in Information Technology or related field
+ **Experience:** 10+ years of related experience
+ **Security Clearance Level:** TS/SCI with Polygraph
+ **Location:** McLean, VA, on Customer Site
+ **US Citizenship Required**
**GDIT IS YOUR PLACE:**
+ 401K with company match
+ Comprehensive health and wellness packages
+ Internal mobility team dedicated to helping you own your career
+ Professional growth opportunities including paid education and certifications
+ Cutting-edge technology you can learn from
+ Rest and recharge with paid vacation and holidays
#GDITEnhanced2025
#OpportunityOwned
#GDITCareers
#WeAreGDIT
#JET
The likely salary range for this position is $182,882 - $247,428. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.
We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.
Join our Talent Community to stay up to date on our career opportunities and events at Opportunity Employer / Individuals with Disabilities / Protected Veterans
**Type of Requisition:** Regular
**Clearance Level Must Be Able to Obtain:** Top Secret SCI + Polygraph
**Public Trust/Other Required:** None
**Job Family:** Software Engineering
**Skills:**
JavaScript,Node.js,Vue.js
**Experience:**
10 + years of related experience
**US Citizenship Required:**
Yes
**Job Description:**
Deliver simple solutions to complex problems as an Information Retrieval Software Developer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. With a career in application development, you'll make the end user's experience your priority and we'll make your career growth ours.
At GDIT, people are our differentiator. As an Information Retrieval Software Developer, you will help ensure today is safe and tomorrow is smarter. Our work depends on a Software Developer joining our team.
**REQUIRED SKILLS:**
+ Experience in developing and refining ranking algorithms and models, designing and implementing indexing and retrieval systems, and collaborating with the data scientist and NLP engineer.
+ Experience with primary languages of Vue, Node.js, Javascript.
+ Front End Skills: Single Page Applications (Vue, JavaScript, TypeScript, CSS, HTML), Responsive Design
+ Back End Skills: Microservices, REST, Node.js, Nest.js - Build Tools: maven, gradle, git, tactical and strategic improvements to large scale Java/J2EE/ products.
+ Documented Experience with DevOps/Platforms: Amazon Web Services (S3, RDS, EC2, ECS, Lambda, SQS, SNS, CloudFormation, etc.).
+ Demonstrated experience with developing in Ruby/Ruby on Rails; - CI/CD: Jenkins, Artifactory, Docker, Kubernetes.
+ Excellent knowledge of relational databases (PostgreSQL, Oracle), SQL and ORM technologies (JPA2, Hibernate).
**WHAT YOU'LL NEED TO SUCCEED:**
+ **Education:** BA/BS in Information Technology or related field
+ **Experience:** 10+ years of related experience
+ **Security Clearance Level:** TS/SCI with Polygraph
+ **Location:** McLean, VA, on Customer Site
+ **US Citizenship Required**
**GDIT IS YOUR PLACE:**
+ 401K with company match
+ Comprehensive health and wellness packages
+ Internal mobility team dedicated to helping you own your career
+ Professional growth opportunities including paid education and certifications
+ Cutting-edge technology you can learn from
+ Rest and recharge with paid vacation and holidays
#GDITEnhanced2025
#OpportunityOwned
#GDITCareers
#WeAreGDIT
#JET
The likely salary range for this position is $182,882 - $247,428. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.
We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.
Join our Talent Community to stay up to date on our career opportunities and events at Opportunity Employer / Individuals with Disabilities / Protected Veterans
View Now
3
Information Retrieval Software Developer - TS/SCI with Polygraph
22102 McLean, Virginia
General Dynamics Information Technology
Posted 1 day ago
Job Viewed
Job Description
**Req ID:** RQ
**Type of Requisition:** Regular
**Clearance Level Must Be Able to Obtain:** Top Secret SCI + Polygraph
**Public Trust/Other Required:** None
**Job Family:** Software Engineering
**Skills:**
JavaScript,Node.js,Vue.js
**Experience:**
10 + years of related experience
**US Citizenship Required:**
Yes
**Job Description:**
Deliver simple solutions to complex problems as an Information Retrieval Software Developer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. With a career in application development, you'll make the end user's experience your priority and we'll make your career growth ours.
At GDIT, people are our differentiator. As an Information Retrieval Software Developer, you will help ensure today is safe and tomorrow is smarter. Our work depends on a Software Developer joining our team.
**REQUIRED SKILLS:**
+ Experience in developing and refining ranking algorithms and models, designing and implementing indexing and retrieval systems, and collaborating with the data scientist and NLP engineer.
+ Experience with primary languages of Vue, Node.js, Javascript.
+ Front End Skills: Single Page Applications (Vue, JavaScript, TypeScript, CSS, HTML), Responsive Design
+ Back End Skills: Microservices, REST, Node.js, Nest.js - Build Tools: maven, gradle, git, tactical and strategic improvements to large scale Java/J2EE/ products.
+ Documented Experience with DevOps/Platforms: Amazon Web Services (S3, RDS, EC2, ECS, Lambda, SQS, SNS, CloudFormation, etc.).
+ Demonstrated experience with developing in Ruby/Ruby on Rails; - CI/CD: Jenkins, Artifactory, Docker, Kubernetes.
+ Excellent knowledge of relational databases (PostgreSQL, Oracle), SQL and ORM technologies (JPA2, Hibernate).
**WHAT YOU'LL NEED TO SUCCEED:**
+ **Education:** BA/BS in Information Technology or related field
+ **Experience:** 10+ years of related experience
+ **Security Clearance Level:** TS/SCI with Polygraph
+ **Location:** McLean, VA, on Customer Site
+ **US Citizenship Required**
**GDIT IS YOUR PLACE:**
+ 401K with company match
+ Comprehensive health and wellness packages
+ Internal mobility team dedicated to helping you own your career
+ Professional growth opportunities including paid education and certifications
+ Cutting-edge technology you can learn from
+ Rest and recharge with paid vacation and holidays
#GDITEnhanced2025
#OpportunityOwned
#GDITCareers
#WeAreGDIT
#JET
The likely salary range for this position is $182,882 - $247,428. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.
We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.
Join our Talent Community to stay up to date on our career opportunities and events at Opportunity Employer / Individuals with Disabilities / Protected Veterans
**Type of Requisition:** Regular
**Clearance Level Must Be Able to Obtain:** Top Secret SCI + Polygraph
**Public Trust/Other Required:** None
**Job Family:** Software Engineering
**Skills:**
JavaScript,Node.js,Vue.js
**Experience:**
10 + years of related experience
**US Citizenship Required:**
Yes
**Job Description:**
Deliver simple solutions to complex problems as an Information Retrieval Software Developer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. With a career in application development, you'll make the end user's experience your priority and we'll make your career growth ours.
At GDIT, people are our differentiator. As an Information Retrieval Software Developer, you will help ensure today is safe and tomorrow is smarter. Our work depends on a Software Developer joining our team.
**REQUIRED SKILLS:**
+ Experience in developing and refining ranking algorithms and models, designing and implementing indexing and retrieval systems, and collaborating with the data scientist and NLP engineer.
+ Experience with primary languages of Vue, Node.js, Javascript.
+ Front End Skills: Single Page Applications (Vue, JavaScript, TypeScript, CSS, HTML), Responsive Design
+ Back End Skills: Microservices, REST, Node.js, Nest.js - Build Tools: maven, gradle, git, tactical and strategic improvements to large scale Java/J2EE/ products.
+ Documented Experience with DevOps/Platforms: Amazon Web Services (S3, RDS, EC2, ECS, Lambda, SQS, SNS, CloudFormation, etc.).
+ Demonstrated experience with developing in Ruby/Ruby on Rails; - CI/CD: Jenkins, Artifactory, Docker, Kubernetes.
+ Excellent knowledge of relational databases (PostgreSQL, Oracle), SQL and ORM technologies (JPA2, Hibernate).
**WHAT YOU'LL NEED TO SUCCEED:**
+ **Education:** BA/BS in Information Technology or related field
+ **Experience:** 10+ years of related experience
+ **Security Clearance Level:** TS/SCI with Polygraph
+ **Location:** McLean, VA, on Customer Site
+ **US Citizenship Required**
**GDIT IS YOUR PLACE:**
+ 401K with company match
+ Comprehensive health and wellness packages
+ Internal mobility team dedicated to helping you own your career
+ Professional growth opportunities including paid education and certifications
+ Cutting-edge technology you can learn from
+ Rest and recharge with paid vacation and holidays
#GDITEnhanced2025
#OpportunityOwned
#GDITCareers
#WeAreGDIT
#JET
The likely salary range for this position is $182,882 - $247,428. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.
We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.
Join our Talent Community to stay up to date on our career opportunities and events at Opportunity Employer / Individuals with Disabilities / Protected Veterans
View Now
4
Technical Program Manager II, Information Retrieval, Core Systems
10176 New York, New York
Google
Posted 7 days ago
Job Viewed
Job Description
Technical Program Manager II, Information Retrieval, Core Systems
_corporate_fare_ Google _place_ Sunnyvale, CA, USA; New York, NY, USA
**Mid**
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
_info_outline_
XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Sunnyvale, CA, USA; New York, NY, USA** .
**Minimum qualifications:**
+ Bachelor's degree in a technical field, or equivalent practical experience.
+ 2 years of experience in technical program management.
+ Experience with Data Management.
+ Experience with Agile delivery frameworks (e.g., Scrum, Kanban, Scaled Agile Framework (SAFe) or Lean).
**Preferred qualifications:**
+ 2 years of experience managing cross-functional or cross-team projects.
+ Knowledge of AI/ML concepts, including machine learning algorithms, model training, and deployment.
+ Ability to use data to make decisions and drive strategy.
+ Excellent problem-solving and analytical skills.
**About the job**
A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
The Information Retrieval organization at Google is responsible for building infrastructure and services that acquire, understand, index, and serve various types of data. IR techniques are crucial for search engines, question-answering systems, and content generation. The team serves Google's mission by leveraging ML and traditional retrieval technologies to enable retrieval for critical businesses like Search, Lens, Cloud, YouTube, and Shopping.
The Core team builds the technical foundation behind Google's flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google's products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google ( .
**Responsibilities**
+ Collaborate with team members and stakeholders to understand or identify defined work problems and program goals, obtain prioritized deliverables, and discuss program impact.
+ Prioritize program goals, understand and translate other stakeholders' needs into program goals and prioritized deliverables with minimal assistance, and contribute to decisions on prioritizing goals and deliverables.
+ Define the scope of projects and develop, execute, or manage project plans for supported programs.
+ Review key metrics pertaining to a program, monitor potential metric deviations, and define corrective actions for critical deviations.
+ Identify, communicate, and collaborate with stakeholders within one or more teams to drive impact and work toward mutual goals. Build, maintain and enhance business, operational, and management dashboards.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
_corporate_fare_ Google _place_ Sunnyvale, CA, USA; New York, NY, USA
**Mid**
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
_info_outline_
XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Sunnyvale, CA, USA; New York, NY, USA** .
**Minimum qualifications:**
+ Bachelor's degree in a technical field, or equivalent practical experience.
+ 2 years of experience in technical program management.
+ Experience with Data Management.
+ Experience with Agile delivery frameworks (e.g., Scrum, Kanban, Scaled Agile Framework (SAFe) or Lean).
**Preferred qualifications:**
+ 2 years of experience managing cross-functional or cross-team projects.
+ Knowledge of AI/ML concepts, including machine learning algorithms, model training, and deployment.
+ Ability to use data to make decisions and drive strategy.
+ Excellent problem-solving and analytical skills.
**About the job**
A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
The Information Retrieval organization at Google is responsible for building infrastructure and services that acquire, understand, index, and serve various types of data. IR techniques are crucial for search engines, question-answering systems, and content generation. The team serves Google's mission by leveraging ML and traditional retrieval technologies to enable retrieval for critical businesses like Search, Lens, Cloud, YouTube, and Shopping.
The Core team builds the technical foundation behind Google's flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google's products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google ( .
**Responsibilities**
+ Collaborate with team members and stakeholders to understand or identify defined work problems and program goals, obtain prioritized deliverables, and discuss program impact.
+ Prioritize program goals, understand and translate other stakeholders' needs into program goals and prioritized deliverables with minimal assistance, and contribute to decisions on prioritizing goals and deliverables.
+ Define the scope of projects and develop, execute, or manage project plans for supported programs.
+ Review key metrics pertaining to a program, monitor potential metric deviations, and define corrective actions for critical deviations.
+ Identify, communicate, and collaborate with stakeholders within one or more teams to drive impact and work toward mutual goals. Build, maintain and enhance business, operational, and management dashboards.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
View Now
5
Applied Scientist II - Multimodal Information Retrieval/Search, AGI (Level 5)
94086 Sunnyvale, California
Amazon
Posted 2 days ago
Job Viewed
Job Description
Description
We are seeking a passionate, talented, and inventive scientist to join the Amazon AGI team. As an Applied Scientist, you'll be at the forefront of developing intelligent systems that can seamlessly process, understand, and retrieve multimodal information. You'll work on advancing the state-of-the-art in vision-language models and multimodal embeddings, while developing efficient and scalable algorithms for cross-modal retrieval. Your role will involve creating innovative solutions for multimodal ranking and relevance, ultimately building the next generation of multimodal search systems that can understand and process information the way humans do.
You'll collaborate with a talented team of researchers and engineers, contribute to research in multimodal search, and see your innovations directly impact millions of customers. If you're passionate about multimodal search and want to shape the future of how machines understand and retrieve information across different modalities, we want to hear from you.
Our team values research excellence and encourages publishing in top-tier conferences while maintaining a strong focus on practical applications that benefit real users.
Key job responsibilities
- As an Applied Scientist, you will leverage your technical expertise and experience to demonstrate leadership in tackling large complex problems, setting the direction and collaborating with applied scientists and engineers to develop novel algorithms and modeling techniques to enable timely, relevant and delightful search experiences.
- Develop state-of-the-art multimodal search technology, including training novel retrieval and ranking models for images/videos, scaling models and optimizing performance, partnering with engineering to deploy and debug model performance in production, and building and scaling quality training data sets.
- Leverage Amazon's data and computing resources to accelerate advances in the state of the art in multimodal learning and information retrieval.
- Work backwards from customer needs and use that information to make trade-offs between different modeling approaches
- Collaborate with software engineering teams to integrate successful experimental results into complex Amazon production systems
- Report results to technical and business audiences in a manner that is statistically rigorous and compellingly relevant, exemplifying good scientific practice in a business environment
- Drive best practices, helping to set high scientific and engineering standards on the team
- Promote the culture of experimentation and applied science at Amazon
Basic Qualifications
- 1+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
- PhD in Computer Science/Engineering, Machine Learning, or related field with specialties in information retrieval, recommendation system, or multimodal learning.
- Hands on experience with Visual LLMs
- Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI, CVPR)
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
- Experience with distributed systems, web services, or large-scale data processing.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
We are seeking a passionate, talented, and inventive scientist to join the Amazon AGI team. As an Applied Scientist, you'll be at the forefront of developing intelligent systems that can seamlessly process, understand, and retrieve multimodal information. You'll work on advancing the state-of-the-art in vision-language models and multimodal embeddings, while developing efficient and scalable algorithms for cross-modal retrieval. Your role will involve creating innovative solutions for multimodal ranking and relevance, ultimately building the next generation of multimodal search systems that can understand and process information the way humans do.
You'll collaborate with a talented team of researchers and engineers, contribute to research in multimodal search, and see your innovations directly impact millions of customers. If you're passionate about multimodal search and want to shape the future of how machines understand and retrieve information across different modalities, we want to hear from you.
Our team values research excellence and encourages publishing in top-tier conferences while maintaining a strong focus on practical applications that benefit real users.
Key job responsibilities
- As an Applied Scientist, you will leverage your technical expertise and experience to demonstrate leadership in tackling large complex problems, setting the direction and collaborating with applied scientists and engineers to develop novel algorithms and modeling techniques to enable timely, relevant and delightful search experiences.
- Develop state-of-the-art multimodal search technology, including training novel retrieval and ranking models for images/videos, scaling models and optimizing performance, partnering with engineering to deploy and debug model performance in production, and building and scaling quality training data sets.
- Leverage Amazon's data and computing resources to accelerate advances in the state of the art in multimodal learning and information retrieval.
- Work backwards from customer needs and use that information to make trade-offs between different modeling approaches
- Collaborate with software engineering teams to integrate successful experimental results into complex Amazon production systems
- Report results to technical and business audiences in a manner that is statistically rigorous and compellingly relevant, exemplifying good scientific practice in a business environment
- Drive best practices, helping to set high scientific and engineering standards on the team
- Promote the culture of experimentation and applied science at Amazon
Basic Qualifications
- 1+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
- PhD in Computer Science/Engineering, Machine Learning, or related field with specialties in information retrieval, recommendation system, or multimodal learning.
- Hands on experience with Visual LLMs
- Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI, CVPR)
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
- Experience with distributed systems, web services, or large-scale data processing.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
View Now
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6
Applied Scientist II - Multimodal Information Retrieval/Search, AGI (Level 5)
02133 Boston, Kentucky
Amazon
Posted 2 days ago
Job Viewed
Job Description
Description
We are seeking a passionate, talented, and inventive scientist to join the Amazon AGI team. As an Applied Scientist, you'll be at the forefront of developing intelligent systems that can seamlessly process, understand, and retrieve multimodal information. You'll work on advancing the state-of-the-art in vision-language models and multimodal embeddings, while developing efficient and scalable algorithms for cross-modal retrieval. Your role will involve creating innovative solutions for multimodal ranking and relevance, ultimately building the next generation of multimodal search systems that can understand and process information the way humans do.
You'll collaborate with a talented team of researchers and engineers, contribute to research in multimodal search, and see your innovations directly impact millions of customers. If you're passionate about multimodal search and want to shape the future of how machines understand and retrieve information across different modalities, we want to hear from you.
Our team values research excellence and encourages publishing in top-tier conferences while maintaining a strong focus on practical applications that benefit real users.
Key job responsibilities
- As an Applied Scientist, you will leverage your technical expertise and experience to demonstrate leadership in tackling large complex problems, setting the direction and collaborating with applied scientists and engineers to develop novel algorithms and modeling techniques to enable timely, relevant and delightful search experiences.
- Develop state-of-the-art multimodal search technology, including training novel retrieval and ranking models for images/videos, scaling models and optimizing performance, partnering with engineering to deploy and debug model performance in production, and building and scaling quality training data sets.
- Leverage Amazon's data and computing resources to accelerate advances in the state of the art in multimodal learning and information retrieval.
- Work backwards from customer needs and use that information to make trade-offs between different modeling approaches
- Collaborate with software engineering teams to integrate successful experimental results into complex Amazon production systems
- Report results to technical and business audiences in a manner that is statistically rigorous and compellingly relevant, exemplifying good scientific practice in a business environment
- Drive best practices, helping to set high scientific and engineering standards on the team
- Promote the culture of experimentation and applied science at Amazon
Basic Qualifications
- 1+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
- PhD in Computer Science/Engineering, Machine Learning, or related field with specialties in information retrieval, recommendation system, or multimodal learning.
- Hands on experience with Visual LLMs
- Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI, CVPR)
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
- Experience with distributed systems, web services, or large-scale data processing.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
We are seeking a passionate, talented, and inventive scientist to join the Amazon AGI team. As an Applied Scientist, you'll be at the forefront of developing intelligent systems that can seamlessly process, understand, and retrieve multimodal information. You'll work on advancing the state-of-the-art in vision-language models and multimodal embeddings, while developing efficient and scalable algorithms for cross-modal retrieval. Your role will involve creating innovative solutions for multimodal ranking and relevance, ultimately building the next generation of multimodal search systems that can understand and process information the way humans do.
You'll collaborate with a talented team of researchers and engineers, contribute to research in multimodal search, and see your innovations directly impact millions of customers. If you're passionate about multimodal search and want to shape the future of how machines understand and retrieve information across different modalities, we want to hear from you.
Our team values research excellence and encourages publishing in top-tier conferences while maintaining a strong focus on practical applications that benefit real users.
Key job responsibilities
- As an Applied Scientist, you will leverage your technical expertise and experience to demonstrate leadership in tackling large complex problems, setting the direction and collaborating with applied scientists and engineers to develop novel algorithms and modeling techniques to enable timely, relevant and delightful search experiences.
- Develop state-of-the-art multimodal search technology, including training novel retrieval and ranking models for images/videos, scaling models and optimizing performance, partnering with engineering to deploy and debug model performance in production, and building and scaling quality training data sets.
- Leverage Amazon's data and computing resources to accelerate advances in the state of the art in multimodal learning and information retrieval.
- Work backwards from customer needs and use that information to make trade-offs between different modeling approaches
- Collaborate with software engineering teams to integrate successful experimental results into complex Amazon production systems
- Report results to technical and business audiences in a manner that is statistically rigorous and compellingly relevant, exemplifying good scientific practice in a business environment
- Drive best practices, helping to set high scientific and engineering standards on the team
- Promote the culture of experimentation and applied science at Amazon
Basic Qualifications
- 1+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
- PhD in Computer Science/Engineering, Machine Learning, or related field with specialties in information retrieval, recommendation system, or multimodal learning.
- Hands on experience with Visual LLMs
- Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI, CVPR)
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
- Experience with distributed systems, web services, or large-scale data processing.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
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2026 Applied Science Internship - Recommender Systems/ Information Retrieval (Machine Learning) -...
98194 Seattle, Washington
Amazon
Posted 16 days ago
Job Viewed
Job Description
Description
Unleash Your Potential as an AI Trailblazer
At Amazon, we're on a mission to revolutionize the way people discover and access information. Our Applied Science team is at the forefront of this endeavor, pushing the boundaries of recommender systems and information retrieval. We're seeking brilliant minds to join us as interns and contribute to the development of cutting-edge AI solutions that will shape the future of personalized experiences.
As an Applied Science Intern focused on Recommender Systems and Information Retrieval in Machine Learning, you'll have the opportunity to work alongside renowned scientists and engineers, tackling complex challenges in areas such as deep learning, natural language processing, and large-scale distributed systems. Your contributions will directly impact the products and services used by millions of Amazon customers worldwide.
Imagine a role where you immerse yourself in groundbreaking research, exploring novel machine learning models for product recommendations, personalized search, and information retrieval tasks. You'll leverage natural language processing and information retrieval techniques to unlock insights from vast repositories of unstructured data, fueling the next generation of AI applications.
Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.
Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.
Must be eligible and available for a full-time (40h / week) 12 week internship between May 2026 and September 2026
Amazon has positions available for Machine Learning Applied Science Internships in, but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA.
Key job responsibilities
We are particularly interested in candidates with expertise in: Knowledge Graphs and Extraction, Programming/Scripting Languages, Time Series, Machine Learning, Natural Language Processing, Deep Learning,Neural Networks/GNNs, Large Language Models, Data Structures and Algorithms, Graph Modeling, Collaborative Filtering, Learning to Rank, Recommender Systems
In this role, you'll collaborate with brilliant minds to develop innovative frameworks and tools that streamline the lifecycle of machine learning assets, from data to deployed models in areas at the intersection of Knowledge Management within Machine Learning. You will conduct groundbreaking research into emerging best practices and innovations in the field of ML operations, knowledge engineering, and information management, proposing novel approaches that could further enhance Amazon's machine learning capabilities.
The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.
A day in the life
- Design, implement, and experimentally evaluate new recommendation and search algorithms using large-scale datasets
- Develop scalable data processing pipelines to ingest, clean, and featurize diverse data sources for model training
- Conduct research into the latest advancements in recommender systems, information retrieval, and related machine learning domains
- Collaborate with cross-functional teams to integrate your innovative solutions into production systems, impacting millions of Amazon customers worldwide
- Communicate your findings through captivating presentations, technical documentation, and potential publications, sharing your knowledge with the global AI community
Basic Qualifications
- Are enrolled in a PhD
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
- Experience with one or more of the following: Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling, Knowledge Graphs and Extraction, Programming/Scripting Languages
Preferred Qualifications
- Have publications at top-tier peer-reviewed conferences or journals
- Experience building machine learning models or developing algorithms for business application
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $65.38/hr in our lowest geographic market up to $107.40/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Unleash Your Potential as an AI Trailblazer
At Amazon, we're on a mission to revolutionize the way people discover and access information. Our Applied Science team is at the forefront of this endeavor, pushing the boundaries of recommender systems and information retrieval. We're seeking brilliant minds to join us as interns and contribute to the development of cutting-edge AI solutions that will shape the future of personalized experiences.
As an Applied Science Intern focused on Recommender Systems and Information Retrieval in Machine Learning, you'll have the opportunity to work alongside renowned scientists and engineers, tackling complex challenges in areas such as deep learning, natural language processing, and large-scale distributed systems. Your contributions will directly impact the products and services used by millions of Amazon customers worldwide.
Imagine a role where you immerse yourself in groundbreaking research, exploring novel machine learning models for product recommendations, personalized search, and information retrieval tasks. You'll leverage natural language processing and information retrieval techniques to unlock insights from vast repositories of unstructured data, fueling the next generation of AI applications.
Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.
Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.
Must be eligible and available for a full-time (40h / week) 12 week internship between May 2026 and September 2026
Amazon has positions available for Machine Learning Applied Science Internships in, but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA.
Key job responsibilities
We are particularly interested in candidates with expertise in: Knowledge Graphs and Extraction, Programming/Scripting Languages, Time Series, Machine Learning, Natural Language Processing, Deep Learning,Neural Networks/GNNs, Large Language Models, Data Structures and Algorithms, Graph Modeling, Collaborative Filtering, Learning to Rank, Recommender Systems
In this role, you'll collaborate with brilliant minds to develop innovative frameworks and tools that streamline the lifecycle of machine learning assets, from data to deployed models in areas at the intersection of Knowledge Management within Machine Learning. You will conduct groundbreaking research into emerging best practices and innovations in the field of ML operations, knowledge engineering, and information management, proposing novel approaches that could further enhance Amazon's machine learning capabilities.
The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.
A day in the life
- Design, implement, and experimentally evaluate new recommendation and search algorithms using large-scale datasets
- Develop scalable data processing pipelines to ingest, clean, and featurize diverse data sources for model training
- Conduct research into the latest advancements in recommender systems, information retrieval, and related machine learning domains
- Collaborate with cross-functional teams to integrate your innovative solutions into production systems, impacting millions of Amazon customers worldwide
- Communicate your findings through captivating presentations, technical documentation, and potential publications, sharing your knowledge with the global AI community
Basic Qualifications
- Are enrolled in a PhD
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
- Experience with one or more of the following: Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling, Knowledge Graphs and Extraction, Programming/Scripting Languages
Preferred Qualifications
- Have publications at top-tier peer-reviewed conferences or journals
- Experience building machine learning models or developing algorithms for business application
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $65.38/hr in our lowest geographic market up to $107.40/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
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8
Machine Learning Data Science Engineer
60290 Chicago, Illinois
CapTech Consulting
Posted 4 days ago
Job Viewed
Job Description
Job Description
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
** Specific responsibilities for the Machine Learning Engineer position include: **
- Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
- Deconstructing client needs into data-driven processes/models and analytical measures.
- Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
- Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
- Productionizing ML systems with a focus on optimization and scalability to satisfy clients’ requirements.
- Growing CapTech’s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.
Qualifications:
Qualifications
- Bachelor's degree or equivalent combination of education and experience.
- Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
- Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
- Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
- Proficiency with containerization (e.g., Docker) and microservices.
- Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
- Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
- Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
- Knowledge of DevOps and automation best practices.
- Knowledge of statistics and statistical modeling methods.
- Knowledge of model management and model versioning best practices.
Additional Information
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs.
- Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
- Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs
- Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care
- Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
- Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
- Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities.
- 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness
CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
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