25,974 Machine Learning Engineer jobs in the United States

Job Title

Artificial Intelligence/Machine Learning Engineer, Lead

Overview

EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country's most critical missions. We are a full-service government solutions company. Harnessing the most advanced technology and solutions, we strengthen defenses and control environments to preserve continuity and ensure mission success.

EverWatch employees are focused on tackling the most difficult challenges of the US Government. We offer the best salaries and benefits packages in our industry - to identify and retain the top talent in support of our critical mission objectives.

Commitment to Non-Discrimination:

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Responsibilities

As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support our client's requirements. As a machine learning engineer on our mission driven team, you'll train, test, deploy, and maintain models that learn from data.

In this role, you'll lead the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You'll share your knowledge with a large community of machine learning engineers across the company and collaborate with data scientists, solutions architects, and software developers to deliver world class solutions and deliver mentorship, training, and solutions to real world problems and perform A/B testing tasks on statistical models, ML algorithms, and systems. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.

Work with us to solve real-world challenges and define ML strategy for the U.S. Government.

Join us. The world can't wait.

Qualifications

You Have:

• Experience designing, creating, testing, and productizing AI/ML algorithms to solve business challenges
• Experience creating AI/ML models that learn and make predictions defined by client requirements
• Experience with model architecture, data pipeline interaction, and metrics application, interpretation, and presentation
• Knowledge of foundational concepts of application development, infrastructure management, data engineer, and data governance
• Knowledge of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback
• Ability to design and create scalable solutions for optimal performance
• TS/SCI with a polygraph
• Master's degree in advanced math, artificial intelligence, data science, computer science or deep learning and 10+ years of experience deploying machine learning algorithms or Bachelor's degree in advanced math, artificial intelligence, data science, computer science or deep learning and 17+ years of experience in deploying machine learning algorithms

Nice If You Have:

• Experience with Python, Java, C, and R
• Ph.D in advanced math, artificial intelligence, data science, computer science or deep learning

Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance with a polygraph is required.

Compensation at EverWatch is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $84.14 to $96.16 per hour. The estimate displayed represents the typical compensation range for this position and is just one component of EverWatch's total compensation package for employees.

Clearance Level

TS/SCI FSP

Job Locations

US-MD-Annapolis Junction

Skills

Artificial Intelligence, Machine Learning, Data science, Data sets

Senior Machine Learning Engineer - Artificial Intelligence

Location

New York

Business Area

Engineering and CTO

Ref #

10036512

Description & Requirements

Bloomberg's Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.

At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.

Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.

Join the AI Group as a Senior ML Research Engineer and you will have the opportunity to:

• Collaborate with colleagues on production systems and write, test, and maintain production quality code

• Design, train, experiment, and evaluate ML models, algorithms and solutions

• Demonstrate technical leadership by owning cross-team projects

• Stay current with the latest research in ML and incorporate new findings into our models and methodologies

• Represent Bloomberg at scientific and industry conference and in open-source communities

• Publish product and research findings in documentation, whitepapers or publications to leading academic venues

You'll need to have:

• Practical experience with solving Machine Learning problems and techniques

• Ph.D. in ML, Statistics or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields. and 2+ years of relevant work experience

• Experience with machine learning and deep learning frameworks

• An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving

• Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.

• A track record of authoring publications in top conferences and journals is a strong plus

We give back to the technology community and you can read more about our outreach at:

Salary Range = 165000 - 26000 USD Annually + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Senior Machine Learning Engineer - Artificial Intelligence
Location
New York
Business Area
Engineering and CTO
Ref #
10036512
**Description & Requirements**
Bloomberg's Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
Join the AI Group as a Senior ML Research Engineer and you will have the opportunity to:
+ Collaborate with colleagues on production systems and write, test, and maintain production quality code
+ Design, train, experiment, and evaluate ML models, algorithms and solutions
+ Demonstrate technical leadership by owning cross-team projects
+ Stay current with the latest research in ML and incorporate new findings into our models and methodologies
+ Represent Bloomberg at scientific and industry conference and in open-source communities
+ Publish product and research findings in documentation, whitepapers or publications to leading academic venues
You'll need to have:
+ Practical experience with solving Machine Learning problems and techniques
+ Ph.D. in ML, Statistics or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields. and 2+ years of relevant work experience
+ Experience with machine learning and deep learning frameworks
+ An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving
+ Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.
+ A track record of authoring publications in top conferences and journals is a strong plus
We give back to the technology community and you can read more about our outreach at:
Salary Range = 165000 - 26000 USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Lincoln Electric is the world leader in the engineering, design, and manufacturing of advanced arc welding solutions, automated joining, assembly and cutting systems, plasma and oxy-fuel cutting equipment, and has a leading global position in brazing and soldering alloys. Lincoln is recognized as the Welding Expert™ for its leading materials science, software development, automation engineering, and application expertise, which advance customers' fabrication capabilities to help them build a better world. Headquartered in Cleveland, Ohio, Lincoln Electric is a $4.2B publicly traded company (NASDAQ:LECO) with over 12,000 employees around the world, with operations in 71 manufacturing and automation system integration locations across 21 countries and maintains a worldwide network of distributors and sales offices serving customers in over 160 countries.

Location: Euclid - 22801  
Employment Status: Salary Full-Time  
Function: Engineering  
Req ID: 26915  

Summary

Lincoln Electric has an outstanding opportunity for a Machine Learning Engineer based at our Euclid, Ohio manufatcuring headquarters. As a Machine Learning Engineer (ML Engineer), you will be responsible for designing, developing, and implementing deep learning models to address various challenges in developing vision-based tools. You will work closely with cross-functional teams to integrate these models into our products and services, ensuring they meet performance and scalability requirements. 

In addition to competitive pay, Lincoln Electric offers a lucrative profit-sharing plan, student loan repayment program PLUS tuition reimbursement, medical/dental/vision, 401(k) with company match, paid time off and many more outstanding benefits!

** This position has flexibility for hybrid work to be determined as approiate depending on business needs. Candidate must be able to work on-site in Euclid, OH as needed.**

What You Will Do

As an ML Engineer, you will play a key role in a new data science position to help us identify, diagnose, and cure production inefficiencies using data. Specific responsibilities include: 

• Model Development : Design and develop deep learning models using frameworks such as TensorFlow, PyTorch, and Keras for specific applications in the manufacturing domain.
• Training and Evaluation : Train models on large datasets, evaluate their performance, and fine-tune hyperparameters to optimize results.
• Deployment : Implement and deploy models in production environments (including cloud-based deployments), ensuring they are scalable and efficient.
• Collaboration : Work with data scientists, software engineers, and product managers to integrate models into applications and services.
• Research : Stay up to date with the latest advancements in deep learning, transformers and graph neural networks and apply new techniques to new applications.
• Documentation : Maintain thorough documentation of model architecture, training processes, and evaluation metrics using ML Flow or equivalent.

Education & Experience Requirements

• Education : Bachelor's or Master’s degree in computer science, Electrical Engineering, or a related field. PhD is a plus.
• Experience : Proven experience (7+ years) in developing and deploying deep learning models. Experience with large-scale datasets and cloud platforms is preferred.
• Skills :
  • Proficiency in deep learning frameworks and ability to design boutique neural networks with data augmentation and attention mechanisms.
  • Ability to write professional software using SOLID programming principles and writing testing protocols for ML code.
  • Working knowledge of using version control tools and principles to collaborate with other team members.
  • Deep knowledge of partial differential equations, scientific computing and statistical methods.
• Soft Skills : Excellent problem-solving abilities, strong communication skills, and the ability to work collaboratively in a team environment.

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Lincoln Electric is an Equal Opportunity Employer. We are committed to promoting equal employment opportunity for applicants, without regard to their race, color, national origin, religion, sex (including pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation), sexual orientation, gender identity, age, veteran status, disability, genetic information, and any other category protected by federal, state, or local law.

Lincoln Electric is the world leader in the engineering, design, and manufacturing of advanced arc welding solutions, automated joining, assembly and cutting systems, plasma and oxy-fuel cutting equipment, and has a leading global position in brazing and soldering alloys. Lincoln is recognized as the Welding Expert™ for its leading materials science, software development, automation engineering, and application expertise, which advance customers' fabrication capabilities to help them build a better world. Headquartered in Cleveland, Ohio, Lincoln Electric is a $4.2B publicly traded company (NASDAQ:LECO) with over 12,000 employees around the world, with operations in 71 manufacturing and automation system integration locations across 21 countries and maintains a worldwide network of distributors and sales offices serving customers in over 160 countries.

Location: Euclid - 22801  
Employment Status: Salary Full-Time  
Function: Engineering  
Req ID: 26915  

Summary

Lincoln Electric has an outstanding opportunity for a Machine Learning Engineer based at our Euclid, Ohio manufatcuring headquarters. As a Machine Learning Engineer (ML Engineer), you will be responsible for designing, developing, and implementing deep learning models to address various challenges in developing vision-based tools. You will work closely with cross-functional teams to integrate these models into our products and services, ensuring they meet performance and scalability requirements. 

In addition to competitive pay, Lincoln Electric offers a lucrative profit-sharing plan, student loan repayment program PLUS tuition reimbursement, medical/dental/vision, 401(k) with company match, paid time off and many more outstanding benefits!

** This position has flexibility for hybrid work to be determined as approiate depending on business needs. Candidate must be able to work on-site in Euclid, OH as needed.**

What You Will Do

As an ML Engineer, you will play a key role in a new data science position to help us identify, diagnose, and cure production inefficiencies using data. Specific responsibilities include: 

• Model Development : Design and develop deep learning models using frameworks such as TensorFlow, PyTorch, and Keras for specific applications in the manufacturing domain.
• Training and Evaluation : Train models on large datasets, evaluate their performance, and fine-tune hyperparameters to optimize results.
• Deployment : Implement and deploy models in production environments (including cloud-based deployments), ensuring they are scalable and efficient.
• Collaboration : Work with data scientists, software engineers, and product managers to integrate models into applications and services.
• Research : Stay up to date with the latest advancements in deep learning, transformers and graph neural networks and apply new techniques to new applications.
• Documentation : Maintain thorough documentation of model architecture, training processes, and evaluation metrics using ML Flow or equivalent.

Education & Experience Requirements

• Education : Bachelor's or Master’s degree in computer science, Electrical Engineering, or a related field. PhD is a plus.
• Experience : Proven experience (7+ years) in developing and deploying deep learning models. Experience with large-scale datasets and cloud platforms is preferred.
• Skills :
  • Proficiency in deep learning frameworks and ability to design boutique neural networks with data augmentation and attention mechanisms.
  • Ability to write professional software using SOLID programming principles and writing testing protocols for ML code.
  • Working knowledge of using version control tools and principles to collaborate with other team members.
  • Deep knowledge of partial differential equations, scientific computing and statistical methods.
• Soft Skills : Excellent problem-solving abilities, strong communication skills, and the ability to work collaboratively in a team environment.

---

Lincoln Electric is an Equal Opportunity Employer. We are committed to promoting equal employment opportunity for applicants, without regard to their race, color, national origin, religion, sex (including pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation), sexual orientation, gender identity, age, veteran status, disability, genetic information, and any other category protected by federal, state, or local law.

Job Title: Machine Learning Engineer
Location: 1 DNA Way, South San Francisco, CA 94080
Duration: 1-Year Contract (with possibility for extension or conversion)
Pay Rate: $36.65 - $81.65 per hour (W2)

Overview
Join Genentech's Prescient Design, a cutting-edge team within Research and Early Development (gRED), focused on developing structural and machine learning-based molecular design methods. This role leads projects applying novel machine learning techniques for molecular optimization, targeting both small and large molecule drug design. Key focus areas include probabilistic molecular property prediction pipelines and Bayesian acquisition for active learning-driven drug discovery, with potential involvement in molecular generative modeling.

Key Responsibilities

• Collaborate within Prescient Design and with gRED computational scientists, chemists, and biologists.
• Develop machine learning and Bayesian optimization workflows for analyzing and designing small and large molecules.
• Build close partnerships across small molecule and protein therapeutic development teams.
• Manage current projects and innovate new ideas, engineering pipelines for probabilistic property prediction, Bayesian acquisition, and generative modeling.

Required Qualifications

• PhD in quantitative fields such as Computer Science, Chemistry, Chemical Engineering, Computational Biology, or Physics; or MS with 3+ years of industry experience.
• Hands-on experience with production-ready machine learning libraries (e.g., PyTorch, Lightning, Weights & Biases).
• Proven track record with at least one high-impact first-author publication or equivalent achievement.
• Excellent written, visual, and verbal communication and collaboration skills.

Desired Qualifications

• Experience with molecular dynamics, physical modeling, and cheminformatics toolkits like rdkit.
• Expertise in molecular property prediction, computational chemistry, de novo drug design, medicinal chemistry, small molecule design, self-supervised learning, geometric deep learning, Bayesian optimization, probabilistic modeling, and statistical methods.
• Public computational project portfolio (e.g., GitHub).

#TMN

Machine Learning Engineer

Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta' s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.

This position is based out of our headquarters in the Greater Seattle area. #LI-hybrid

Who We Need

Truveta is building a diverse and inclusive team to tackle complex health and technical challenges. We are seeking enthusiastic new graduates who are problem-solvers, collaborative teammates, and eager to make a difference in healthcare. If you're excited about purposeful work, joining a mission-driven team, and launching your career in a supportive environment, Truveta could be the perfect place to start.

This Opportunity

Patients, Doctors and medical researchers deserve to benefit from large scale technological innovations and digital intelligence that have driven progress in office productivity, entertainment and social networking. We are looking for ML engineers excited by the opportunity to improve health care in far-reaching ways. If you are seeking a sense of purpose and are motivated to solve problems in learning, decision making and optimization with AI that can have a direct impact on people's lives, then we have opportunities for you in an exciting startup environment.

We are seeking ML engineers who:

• Have a strong understanding and experience of fundamentals of machine learning through coursework and/or prior job experience. You should be able to build and evaluate a DNN from scratch (including optimizing model size and architecture), for given data and prediction targets.
• Strong understanding of evaluation of ML models, grounded in statistics and measurement/decision science. Precision, NPV, Recall/Sensitivity, Specificity, the tradeoffs between them, and their applicability to various prediction scenarios.
• Strong experience fine-tuning LLMs and multi-modal models using supervised and reinforcement learning. Skilled in both third-party API/SDK-based fine-tuning and custom training on cloud-based compute clusters for application-specific tasks. Experience optimizing GPU usage for model training and inference is a big plus.
• Experience designing reward functions or graders for Reinforcement Fine-Tuning, especially with LLMs.
• Experience building AI agents using agentic frameworks like LangGraph or AutoGen, and ability to create end-to-end agentic AI applications from scratch. Familiarity with the latest agentic tools, frameworks, and standards (e.g., MCP, A2A). Experience designing and implementing self-improving AI agents is a big plus.
• Have experience building and maintaining reliable, secure and scalable software solutions using modern cloud-based paradigms including CI/CD, DRI, and on-call practices.
• Most important: Is a quick and self-driven learner who knows how to proactively seek help, iterate and evolve in a changing product landscape.

Key Qualifications

• 2+ years of experience building production ML engineering systems in a team setting.
• 1+ years of experience working on modern cloud-native platforms and languages (AWS, GCP, Azure).
• Familiarity with crafting modular APIs and building engaging and intuitive web experiences, especially agentic AI protocols such as MCP and A2A.
• B.S. or M.S. in Computer Science or related field.

Preferred Qualifications

• Proven track record of publishing in leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL).

Why Truveta?

Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional, and everything in between. Join us as we build an amazing company together.

We Offer:

• Interesting and meaningful work for every career stage
• Great benefits package
• Comprehensive benefits with strong medical, dental and vision insurance plans
• 401K plan
• Professional development & training opportunities for continuous learning
• Work/life autonomy via flexible work hours and flexible paid time off
• Generous parental leave
• Regular team activities (virtual and in-person as soon as we are able)
• The base pay for this position is $155,000 to $175,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options.

If you are based in California, we encourage you to read this important information for California residents linked here.

Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don't meet all of the requirements.

Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.

Machine Learning Engineer
South San Francisco, CA
12 Months

We are looking for talented Machine Learning Engineers to join Prescient Design, a division devoted to developing structural and machine learning based methods for molecular design within Genentech's Research and Early Development (gRED) organization. The successful candidate will manage projects deploying new techniques for machine learning based molecular optimization for the analysis and design of small and large molecule drugs within target-driven design campaigns. Special focus will be given to engineering pipelines for probabilistic molecular property prediction and Bayesian acquisition for active learning based drug discovery. Additional activities may extend to include engineering pipelines for molecular generative modeling.

The Role:

You will join Prescient Design within the Computational Sciences organization in gRED. Your peers will be machine learning scientists, engineers, computational chemists, and computational biologists.
You will closely collaborate with scientists within Prescient and across gRED.
You will develop machine learning and Bayesian optimization workflows to analyze existing, and design new, small and large molecules.
You will be expected to form close working relationships with small molecule and protein therapeutic development efforts across the gRED organization.
You will be expected to work on existing projects and generate new project ideas.

Qualifications:

• PhD degree in a quantitative field (e.g., Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics), or MS degree and 3+ years of industry experience.
• Demonstrated experience with machine learning libraries in production-ready workflows (e.g., PyTorch + Lightning + Weights and Biases)
• Record of achievement, including at least one high-impact first author publication or equivalent.
• Excellent written, visual, and oral communication and collaboration skills.

Additional desired qualifications:

• Experience with physical modeling methods (e.g., molecular dynamics) and cheminformatics toolkits (e.g., rdkit)
• Previous focus on one or more of these areas: molecular property prediction, computational chemistry, de novo drug design, medicinal chemistry, small molecule design, self-supervised learning, geometric deep learning, Bayesian optimization, probabilistic modeling, statistical methods.
• Public portfolio of computational projects (available on e.g. GitHub).

#TB_EN

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

Adobe.com Engineering team is looking for a Machine Learning Engineer to join the team in the San Jose office. This is an exciting role that enables you to apply machine learning (ML) principles to millions of users! You will be creating and evaluating different machine learning models, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our prediction engine on various web and desktop applications serving all Adobe users. You will build elegant frontend and backend applications on world-class technologies that bring the creative Adobe experience to millions of users, anywhere and anytime!

We are looking for someone who has a strong computer science background, solid data science knowledge and experience in related ML roles. If you are interested in joining an extraordinary team of hardworking people and industry veterans who love to build elegant products, we would like to hear from you!

What you'll do

• Work closely with product and engineering managers to resolve and refine machine learning objectives.
• Turn unstructured data into useful information by auto-tagging or other data cleansing methods.
• Develop ML algorithms to analyze huge volumes of historical data to make predictions.
• Design ML systems to support Content Consumption Recommendation, App Engagement Recommendation and Commercial Recommendation.
• Run tests, perform statistical analysis, and interpret test results.
• Work closely with other engineers to build new Adobe creative cloud experience with ML for the web, desktop and backend.
• Implement new and redesign ML related features.
• Implement best development methodologies and standards.
• Participate in software architecture, design and development.
• Documenting machine learning processes
• A focus on user experience, UI design principles and making applications work intuitively.

What you will need to succeed

• Preferably PhD or M.S. in Computer Science, Data Science, Mathematics or related field or equivalent work experience.
• A minimum of five years of industry based development experience with experience in Machine Learning related software development
• Experience with Machine Learning technologies such as SageMaker, Jupyter Notebook, TensorFlow, etc.
• Experience with one or more of the following: React, Redux, ES6, JavaScript, CSS, HTML5, RESTful API, Node.js, Java, GraphQL, web technologies.
• Experience with database technologies such as Amazon DynamoDB, MongoDB, SQL, etc.
• Experience with AWS, or other Content Delivery Network (CDN).
• Experience in understanding large and sophisticated code bases, including API design techniques to help keep them clean and maintainable.

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 $120,700 -- $228,600 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

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

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 ( .