8,179 Machine Learning Engineer Engineering Data Science jobs in the United States

Description
Amazon is seeking an experienced, self-directed machine learning data engineer to support the research and analytical needs of Amazon Web Services' Sales teams. This is a unique opportunity to invent new ways of leveraging our large, complex data streams to automate sales efforts and to accelerate our customers' journey to the cloud. This is a high-visibility role with significant impact potential.
About AWS:
Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud ("cloud computing"). With AWS you can requisition compute power, storage, and many other services - gaining access to a suite of elastic IT infrastructure services as your business demands them. AWS is the leading platform for designing and developing applications for the cloud and is growing rapidly with hundreds of thousands of companies in over 190 countries on the platform.
About you:
You, as the right candidate, are adept at productionalizing and scaling innovative, high-performance machine learning (ML) and statistics solutions that solve business problems at massive scale. You have carried projects from proof-of-concept to deployment and prediction serving with a high standard for model maintenance and operations. You have turned large volumes of structured and unstructured data into training and prediction sets. You have orchestrated complex and/or distributed modeling systems to unlock new ML capabilities for your customers. You have a strong grasp of popular machine learning and data processing frameworks. You have developed maintainable, reusable components and microservices as part of your pipelines that unlock speed, scale, and integration for others. You are talented at communicating technical concepts clearly to stakeholders in concise, non-technical language.
GSO2024
Key job responsibilities
What you will do:
- Work with a team of business analysts, data scientists, and engineers to bring ML and statistics solutions to our Sales teams
- Develop and deploy models and pipelines that scale
- Use AWS services like SageMaker, EMR, ECS, Glue, and more to build and deploy scalable machine learning models in the cloud
A day in the life
Example projects:
- Scaling out and deploying regression, classification, and recommendation models
- Developing reusable cloud infrastructure and deployment patterns to accelerate productionalization
- Integrating disparate ML solutions into cohesive customer experiences
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
About Sales, Marketing and Global Services (SMGS)
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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 $129,300/year in our lowest geographic market up to $223,600/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.

**Calling all innovators - find your future at Fiserv.**
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
**Job Title**
Machine Learning Engineer
**What does a successful Machine Learning Engineer do at Fiserv?**
Drive Artificial Intelligence (AI) and cloud migration initiatives to enhance our innovative solutions. They leverage advanced analytics, machine learning models, and data-driven insights to improve operational efficiency and decision making. The role involves deploying AI solutions across the organization, contributing to our vision of creating transformative financial services experiences.
**What you will do:**
+ Develop and implement machine learning models to drive AI and cloud migration initiatives.
+ Collaborate with cross-functional teams to identify and prioritize AI opportunities within the organization.
+ Design and execute data-driven strategies to enhance operational efficiency and improve decision-making processes.
+ Deploy AI solutions across various departments, ensuring seamless integration and functionality.
+ Monitor and evaluate the performance of machine learning models to ensure accuracy and reliability.
+ Stay current with industry trends and advancements in AI and machine learning to continuously innovate and improve our solutions.
**What you will need to have:**
+ 7+ years of experience in machine learning and data science.
+ 5+ years of experience in deploying AI solutions in cloud environments, such as AWS pr Azure.
+ 4+ years of experience in advanced analytics and data-driven decision making.
+ Bachelor's degree in computer science, Data Science, or a related field, and/or equivalent military experience.
#LI-SGI
**Salary Range**
$108,900.00 - $186,800.00
_These pay ranges apply to employees in New Jersey, New York and California. Pay ranges for employees in other states may differ._
It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.
For incentive eligible associates, the successful candidate is eligible for an annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards in the Company's sole discretion.
Thank you for considering employment with Fiserv. Please:
+ Apply using your legal name
+ Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
**Our commitment to Equal Opportunity:**
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact . Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv's Disability Accommodation Policy for additional information.
**Note to agencies:**
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
**Warning about fake job posts:**
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
**What you get to do in this role:**
You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any?user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner?We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world.
+ Build the best cloud-based AI/ML solutions to power intelligent enterprise services
+ Collaborate daily with a team of like-minded developers, product managers and quality engineers?to produce quality software
+ Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users
**To be successful in this role you have:**
+ A Bachelor's degree and 2+ years of related experience; or an advanced degree without experience; or equivalent work experience
+ Proficient in prompt engineering and developing LLM based features
+ Experience with methods of training and fine tuning large language models, such as distilation, supervised fine-tunning and policy optimization
+ Experience in using Al productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have
+ Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry
+ Expertise in Java or Python,?OOP, Design Patterns, time and space-efficient algorithms
+ Experience building new products that use challenging algorithms
+ Expertise in coding efficient, object-oriented, modularized and quality software
+ Knowledge of core AI/ML techniques and algorithms
+ Knowledge of unit testing, profiling, and code tuning
For positions in this location, we offer a base pay of $137,300 - $212,900, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
**Work Personas**
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here ( . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
**Equal Opportunity Employer**
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
**Accommodations**
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance.
**Export Control Regulations**
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

This role has a hybrid work model. It requires 4 days a week in the office.
We are seeking a Data Scientist with expertise in AI / GenAI, combined with a strong foundation in MLOps. This role supports the development and operationalization of AI solutions across multiple initiatives in BMO corporate audit, in collaboration with enterprise T&O and Data Science functions. You'll work closely with data scientists, engineers, and cloud teams to ensure AI solutions are scalable, secure, and production-ready.
**Key Responsibilities**
+ Design, build, and deploy both traditional ML models and GenAI solutions aligned with business needs.
+ Collaborate with engineering and cloud teams to implement MLOps best practices for model deployment,monitoring, and retraining, as well as GenAI solutions.
+ Enhance data pipelines to ensure clean, accurate, and production-ready data for training and inference.
+ Conduct experiments and evaluate model performance to inform improvements, mitigate drift, and ensure continued relevance in production.
+ Collaborate across environments to align infrastructure, streamline development workflows, and support scalable model deployment.
+ Support governance and compliance processes, including documentation and review and approval processes.
+ Contribute to reusable tools and frameworks that accelerate experimentation and deployment across projects.
**Qualifications**
+ 3-5 years of experience in machine learning, including experience withtraditional ML, language models (e.g. BERT), and GenAI/LLMs.
+ Proficiency in Python and ML libraries (e.g., scikit-learn, XGBoost, spacy, LangChain, fastapi, flask).
+ Experience with MLOps tools and practices (e.g., AWS - SageMaker, BedRock, Jumpstart, Azure - AI Foundry, OpenAI service,MLflow, CI/CD, containerization).
+ Strong understanding of statistics, model evaluation, and data engineering fundamentals.
+ Excellent communication and collaboration skills across technical and non-technical teams.
+ Strong investigative research skills to systematically explore, analyze, and synthesize information for insight generation and decision support.
**Why Join Us**
+ Be part of a high-impact initiative advancing the future of AI in audit and compliance-where rapid iteration and document-rich environments drive meaningful innovation.
+ Work with cutting-edgeGenAI technologies in a collaborative, fast-paced environment.
+ Help define and scale MLOps practices in a federated model-without being siloed in a dedicated MLOps team.
Researches, builds, and implements scalable artificial intelligence systems capable of learning and making predictions to business requirements. Enhances data pipelines and lakes to ensure data is clean, accurate, and optimized for machine learning models. Monitors, evaluates, and optimizes learning processes to continuously improve high-performance models. Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools.
+ Designs and develops machine learning (ML) and deep learning systems.
+ Runs machine learning tests and experiments. Trains and retrain systems to prevent drift and optimize results.
+ Solves complex problems with multi-layered data sets, extends existing ML frameworks and optimizes existing machine learning libraries.
+ Develops Machine Learning apps, implements algorithms, and builds tools to apply ML frameworks.
+ Turns unstructured data into useful information by auto-tagging images and text-to-speech conversions.
+ Develops ML algorithms to analyze huge volumes of historical data to make predictions.
+ Runs tests, performs statistical analysis, and interprets test results.
+ Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
+ Provides specialized consulting, analytical and technical support.
+ Exercises judgment to identify, diagnose, and solve problems within given rules.
+ Works independently and regularly handles non-routine situations.
+ Broader work or accountabilities may be assigned as needed.
**Qualifications:**
Foundational level of proficiency:
+ Systems Thinking.
Intermediate level of proficiency:
+ Mathematics, Statistics & Operations Research.
+ Critical thinking.
+ Creative reasoning.
+ Verbal & written communication skills.
+ Collaboration & team skills.
+ Analytical and problem solving skills.
+ Data driven decision making.
Advanced level of proficiency:
+ Computational Thinking and Programming.
+ Deep Learning.
+ Machine Learning.
+ Scaling Models.
+ Continuous Integration and Continuous Delivery/Deployment.
+ ML algorithm.
+ Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
+ Deep knowledge and technical proficiency gained through extensive education and business experience.
**Salary:**
$88,800.00 - $165,600.00
**Pay Type:**
Salaried
The above represents BMO Financial Group's pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.
BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: Us**
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.
To find out more visit us at is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Nelnet is a diversified and innovative company committed to enriching lives through the power of service as a student loan servicer, professional services company, consumer loan originator and servicer, payments processor, renewable energy solutions, and K-12 and higher education expert. For over 40 years, Nelnet has been serving its customers, associates, and communities.
The perks of working at Nelnet go beyond our benefits package. When you join the Nelnet team, you're part of a community invested in the success of each individual. That support comes through in our work, as we are united by our mission of creating opportunities for people where they live, learn, and work.
ABOUT US:
At Nelnet, we believe in the transformative power of data and technology to drive business innovation. Our Machine Learning Engineer role is at the core of this transformation, creating intelligent systems that automate processes, derive insights, and enable us to make better decisions. If you're passionate about applying machine learning techniques to real-world challenges, we invite you to join our team and contribute to shaping the future of our business.
ROLE OVERVIEW:
As a Machine Learning Engineer at Nelnet, you'll be at the intersection of data science and software engineering. Your primary focus will be on designing, building, and deploying machine learning models to solve various business problems. You'll collaborate closely with Data Scientists, Data Engineers, and business stakeholders to bring machine learning solutions from conceptualization to production. You will also work extensively with large language models, implementing them in various applications to enhance our AI capabilities.
**JOB RESPONSIBILITIES:**
1. Model Development: Create, validate, and deploy machine learning models using advanced algorithms and frameworks like TensorFlow, PyTorch, or scikit-learn.
2. Feature Engineering: Collaborate with Data Scientists to engineer features for machine learning models.
3. Model Optimization: Continuously refine and optimize models for improved performance and efficiency.
4. Scalability: Design and implement scalable machine learning pipelines using cloud-based solutions on platforms like AWS, leveraging tools such as Terraform for infrastructure management.
5. Large Language Models: Work with large language models, implementing them in various applications to provide advanced AI solutions.
6. Collaboration: Work closely with Data Engineers to ensure seamless data integration for machine learning models.
7. Monitoring: Implement monitoring tools to track the performance and outcomes of deployed models. Utilize CI/CD pipelines to automate the deployment and maintenance of machine learning solutions.
8. Documentation: Maintain thorough documentation for model architectures, data flows, and performance metrics.
9. Innovation: Stay updated on industry trends and emerging technologies to incorporate into existing systems.
10. Mentorship: Provide guidance and mentorship to junior team members in machine learning best practices.
**Employment and continued employment are contingent upon obtaining and maintaining a favorable security clearance**
**Must be a United States Citizen**
**Must reside in the United States and be a United States citizen**
**This process involves collecting and providing 7 years of previous work experience, previous addresses, and contact information of people that can verify this information**
**Must not be delinquent or in default with any federal debt**
**Final suitability determination is the sole discretion of the Department of Education**
**At this time, Nelnet is unable to hire for this position in the following states:**
**- Washington**
**- Oregon**
**- California**
**- Illinois**
**- Michigan**
**- Alabama**
**- New York**
**- Vermont**
**- Maine**
**- Massachusetts**
**- Rhode Island**
**- Connecticut**
**- New Jersey**
**- Hawaii**
**_Starting salary range for this role is $85k - $110k annually_**
**EDUCATION:**
Bachelor's or Master's in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
**EXPERIENCE:**
1. Minimum of 3 years of experience in machine learning engineering or
related roles.
2. Hands-on experience with machine learning frameworks such as
TensorFlow, PyTorch, or scikit-learn.
3. Experience in deploying machine learning models in production
environments.
4. Proven experience working with and implementing large language models.
**COMPETENCIES - SKILLS/KNOWLEDGE/ABILITIES:**
1. Strong programming skills in Python.
2. Familiarity with cloud platforms like AWS for machine learning solutions.
3. Experience with infrastructure as code (IaC) tools like Terraform.
4. Proficiency in using CI/CD pipelines for automating machine learning work
flows.
5. Experience with containerization technologies like Docker and orchestration
tools like Kubernetes.
6. Strong understanding of machine learning algorithms and statistical
modeling techniques.
7. Excellent problem-solving skills and the ability to work in a collaborative
environment.
8. Strong critical thinking, analytical and quantitative problem-solving ability.
9. Strong organization, time management and coordination skills to drive
projects to completion.
10. Excellent skills in data manipulation, preprocessing, and feature
engineering.
11. Ability to lead end-to-end development of new products.
Our benefits package includes medical, dental, vision, HSA and FSA, generous earned time off, 401K/student loan repayment, life insurance & AD&D insurance, employee assistance program, employee stock purchase program, tuition reimbursement, performance-based incentive pay, short- and long-term disability, and a robust wellness program. Click here to learn more about our benefits: LINK ( .
Nelnet is committed to providing a welcoming and respectful workplace where all associates have the opportunity to succeed. As an Equal Opportunity Employer, we ensure that all qualified applicants are considered for employment. Employment decisions are made without regard to race, color, religion/creed, national origin, gender, sex, marital status, age, disability, use of a guide dog or service animal, sexual orientation, military/veteran status, or any other status protected by federal, state, or local law. We value the unique contributions of every team member and believe that a positive work environment benefits everyone.
Qualified individuals with disabilities who require reasonable accommodations in order to apply or compete for positions at Nelnet may request such accommodations by contacting Corporate Recruiting at or .
Nelnet is a Drug Free and Tobacco Free Workplace.
You may know Nelnet as the nation's largest student loan servicer - but we do more than that. _A lot more._ We're also a professional services company, consumer loan originator and servicer, payment processor, renewable energy innovator, and K-12 and higher education expert (and that's just a shortlist). For over 40 years, we've been serving our customers, associates, and communities to make dreams possible.
EEO Info ( | EEO Letter ( | EPPA Info ( | FMLA Info (

General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems.
We are looking for an experienced Machine Learning Engineer to join our team in Poway, CA. This person will support a team in system development will bring prior expertise in Software Development and Machine Learning to scale data-driven sensing systems. The ideal candidate will have or be willing to learn a wide breadth of engineering knowledge to support writing target detection algorithms for RF sensing systems such as Air to Ground, Air to Air and Surface to Air Radar, Electronic Intelligence, Electronic Attack and Electronic Protection.
**DUTIES AND RESPONSIBILITIES:**
+ With limited direction, this position exercises considerable latitude in determining technical objectives for the review, research, design, development, and/or solution to advanced technical engineering problem (s).
+ May function in a project leadership role providing direction and development roadmap to experienced professional staff.
+ Formulates plans, typically long term, for solution(s) development, documentation, and deployment, as well as meeting various compliance, reporting, and safety standards.
+ Evaluates the integration of the engineering solution within the overall engineering environment; and ensures that appropriate documentation, testing, maintenance, and engineering updates completed. Communicates with engineering professionals, solution users, and management throughout the solution development cycle, represents the company as a prime technical contact on contracts and/or projects, interacts with senior external personnel on technical matters requiring coordination between the organizations, and participates in the development of new or expansion of existing business.
+ Determines technical objectives for solution(s) to advanced technical engineering problems.
+ Represents the organization as a prime technical contact within and engineering team for assigned project(s)/program(s).
+ May function in an advisory or leadership role for a project/program and provide direction and guidance to less experienced professional staff or team of professional staff.
+ Formulates plans and guides the development and implementation of engineering solution(s) including deployment, resource requirements, testing, documentation, integration and compliance and safety.
+ Plans and coordinates the maintenance of engineering solutions including, documentation, reporting, publishing, and making technical and other presentations to ensure viability of the solution(s) in an evolving environment.
+ Plans for future applications of solutions based on new developments in engineering technology.
+ Participates in or may lead the development of new or expansion of existing business opportunities.
+ Maintains the strict confidentiality of sensitive information.
+ Performs other duties as assigned.
+ Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company. Expected to work in a safe manner in accordance with established operating procedures and practices.
We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.
49222
**Job Qualifications:**
+ Typically requires a bachelors, masters degree or PhD in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and progressive machine learning engineering experience as follows; five or more years of experience with a bachelors degree or three or more years of experience with a masters degree. May substitute equivalent machine learning engineer experience in lieu of education.
+ Demonstrates a detailed and extensive technical expertise and application of engineering principles, concepts, theory, and practice with the ability to organize, plan, schedule, conduct, and coordinate workloads to meet established deadlines or milestones with some experience in project leadership.
+ Artificial Intelligence, Machine Learning, Radar, Image Processing, Data Engineering, Data Analyst, Perception.
+ Experience with Data Science tools such as Python, Jupyter, Scikit, TensorFlow and PyTorch.
+ Familiarity with standard data pipeline and MLOps concepts (frameworks, formats, labeling, databases and visualization).
+ Understanding of Machine Learning algorithms and techniques for training and model optimization.
+ Understanding of C++ and Object Oriented design.
+ General understanding of robotics concepts (coordinate systems, kinematics, sensors and Perception techniques).
+ Experience with the Linux command line.
+ Ability to obtain and maintain a DOD security clearance required.
**Salary:** $116,480 - $208,505 **Travel Percentage Required** 0 - 25 **Relocation Assistance Provided** Not Provided **US Citizenship Required?** Yes **Clearance Required?** Desired **Clearance Level** Mid-Level (3-7 years) **Workstyle** Hybrid
General Atomics is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity/Affirmative Action Employer and will consider all qualified applicants for employment without regard to race, color, religion, religious creed, ancestry, gender, pregnancy, sex, sexual orientation, transitioning status, gender identity, gender expression, national origin, age, genetic information, military and veteran status, marital status, medical condition, mental disability, physical disability, or any other basis protected by local, state, or federal law. EEO is the law. We also prohibit compensation discrimination under all applicable laws. To learn more visit Notices.pdf. U.S. Citizenship is required for certain positions.

General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems.
We have an exciting opportunity for a Machine Learning Engineer in Poway, CA. The Autonomy and Artificial Intelligence Solutions Software group is charted to develop and deploy end-to-end autonomous systems that enable unmanned aerial systems (UAS) to execute autonomous missions.
**DUTIES AND RESPONSIBILITIES:**
+ Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms of limited scope.
+ In product/systems improvement projects, uses machine language and statistical modeling techniques to include but not limited to decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.
+ In both theoretical development environments and specific product design, implementation and improvement environments, uses programming language and technologies to translate algorithms and technical specifications into code.
+ Completes programming and implements efficiencies, performs testing and debugging.
+ Completes documentation and procedures for installation and maintenance.
+ Applies deep learning technologies to give computers the capability to visualize, learn and respond to situations of limited scope.
+ Lead technical teams and scope challenging projects into executable sprints.
+ Drive code reviews to help team adhere to general DevSecOps and MLOps best practices.
+ Have a growth mindset and be comfortable in a setting where milestones shift often due to customer preferences or technology evolution.
+ Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience.
+ Interface with external vendors and partners to integrate their technology into the team's autonomy stack.
+ Maintains the strict confidentiality of sensitive information.
+ Performs other duties as assigned.
+ Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company. Expected to work in a safe manner in accordance with established operating procedures and practices.
We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.
49484
**Job Qualifications:**
+ Typically requires a bachelors or master's degree in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and two or more years of machine learning experience with a bachelors degree. May substitute equivalent machine learning engineer experience in lieu of education.
+ Must have an understanding of machine learning concepts, principles, and theory.
+ Demonstrates the ability to follow and apply advanced machine learning knowledge, adapt cutting edge standard techniques, and utilize the required diagnostics, tools and equipment, while ensuring safety and regulatory compliance.
+ Experience in developing and leading scalable software architectures from scratch.
+ Experience in optimizing AI models to meet edge processing requirements.
+ Strong coding skills in Java, Java Script, C/C++, Python
+ Experience in AI frameworks such as Tensorflow and pyTorch.
+ Excellent verbal and written communication skills.
+ Must be able to architect, design, and develop complex software.
+ Technical expertise in the application of engineering principles, concepts, theory, and practice as well as project management and leadership skills including organizing, planning, scheduling, and coordinating workloads to meet established deadlines or milestones.
+ Active membership and participation in relevant conference and professional society organizations.
+ Demonstrated recent history of academic quality publications in the area of AI/ML and autonomy.
+ Must be able to understand new concepts quickly and apply them accurately throughout an evolving environment.
+ Strong communication, computer, and interpersonal skills are required to enable an effective interface with other professionals, to produce appropriate documentation, and to present results to a limited internal audience.
+ Must be able to work both independently and on a team.
+ Able to work extended hours as required.
+ Customer focused, must be able to work on a self-initiated basis and in a team environment, and able to work extended hours and travel as required.
+ Ability to obtain and maintain a DoD security clearance is required.
**Salary:** $98,100 - $171,398 **Travel Percentage Required** 0 - 25 **Relocation Assistance Provided** Not Provided **US Citizenship Required?** Yes **Clearance Required?** Desired **Clearance Level** Entry-Level (0-2 years) **Workstyle** Hybrid
General Atomics is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity/Affirmative Action Employer and will consider all qualified applicants for employment without regard to race, color, religion, religious creed, ancestry, gender, pregnancy, sex, sexual orientation, transitioning status, gender identity, gender expression, national origin, age, genetic information, military and veteran status, marital status, medical condition, mental disability, physical disability, or any other basis protected by local, state, or federal law. EEO is the law. We also prohibit compensation discrimination under all applicable laws. To learn more visit Notices.pdf. U.S. Citizenship is required for certain positions.

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Machine Learning Engineer Responsibilities:
1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
2. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
3. Work on problems of large scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
4. Suggest, collect, analyze and synthesize requirements and bottlenecks in technology, systems, and tools.
5. Develop solutions that iterate with a higher efficiency, efficiently leverage orders of magnitude more data, and explore state-of-the-art deep learning techniques.
6. Demonstrate strong engineering skills and require minimal guidance on engineering craft.
7. Apply advanced machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
**Minimum Qualifications:**
Minimum Qualifications:
8. Requires a Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, Applied Sciences, Mathematics, Physics or related field.
9. Requires completion of a university-level course, research project, internship, or thesis in the following:
10. 1.- Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
11. 2.- Machine Learning Algorithms and their applications: recommendation systems, computer vision, natural language processing, or data mining
12. 3.- Translating insights into business recommendations
13. 4.- Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark
14. 5.- Deep Neural Networks
15. 6.- Probability theory, Linear Algebra, Calculus, Data Analysis
16. 7.- Understanding of agile methodologies such as: Scrum, Kanban
17. 8.- Developing and debugging in C, C++, and Java
18. 9.- Scripting languages: Perl, Python, PHP, or shell scripts
19. 10.- Relational databases and SQL
20. 11.- Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
21. 12.- Linux, UNIX, or other *nix-like OS including file manipulation and simple commands
22. 13.- Distributed systems, including sharding, consistency, and availability
23. 14.- Building highly-scalable performant solutions
24. 15.- Data structures and Algorithms
**Public Compensation:**
$187,974/year to $200,200/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

Immigration sponsorship is not available for this position
Responsibilities:
+ Work on complex issues where analysis of situation or data requires deep evaluation;
+ Build and deploy state of the art ML models for NLP and LLM use cases;
+ Build large scale ML interface and serving pipelines;
+ Design and develop and scale realtime ML services which provide AI functionality for Zoom features;
+ Define metrics, dashboards to monitor and evaluate AI service maturity and performance;
+ Work closely with the Research teams build required tools and services to make them productive;
+ Work closely with the product and operations teams to integrate ML services seamlessly into the products; and
+ Work closely with various teams on data acquisition, cleanup and related tooling.
What we're looking for:
+ Requires a Master's degree in Computer Science, Machine Learning, Computational and Mathematical Engineering, a related field, or a foreign degree equivalent;
+ Must have 1 year of experience in the job offered or related occupation;
+ Must have 1 year of experience in: coding in Python;
+ Must have 1 year of experience in at least one or more of the following: Natural Language Understanding, Natural Language Generation, Intent detection, topic modeling and segmentation, training/fine tuning large language models, transformer;
+ Must have 1 year of experience in Machine Learning toolkits such as (TensorFlow, PyTorch, Spacy, etc.);
+ Must have 1 year of experience in distributed training and performance optimization on GPU's;
+ Must have 1 year of experience in working on multi-modal ML; and
+ Must have 1 year of experience in Microservice, Docker, Kubernetes, REST API, AWS.
+ Telecommuting work arrangement permitted: position may work in various unanticipated locations throughout the U.S. No domestic or international travel required.
Zoom Communications,Inc.
#LI-DNI
#Ind0
Salary Range or On Target Earnings:
Minimum:
$170,000.00
Maximum:
$255,400.00
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations.
Ways of WorkingOur structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
BenefitsAs part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn ( for more information.
About UsZoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
Our Commitment?
At Zoom, we believe great work happens when people feel supported and empowered. We're committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know-we're here to support you at every step.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form ( and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.
Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application - take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step.