Mid Level AI ML Engineering Jobs
Mid level ai ml engineering jobs go to engineers ready to own model pipelines end to end, make architecture decisions with limited oversight, and guide junior teammates through implementation. Openings run across Banking & Financial Services, Electronics & Hardware, and Automotive, with a strong mix of remote and hybrid work, and employers like General Motors, Amazon Web Services, and Apple hiring at this level now.
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Showing 5 of 16+ Mid Level AI ML Engineering jobs
Job Description
Role: As an AI/ML Engineer on the Metrics Frameworks team, part of the Simulation, Evaluation, and Data organization, you will be an individual contributor focused on developing and optimizing infrastructure to accelerate autonomous vehicle development, testing, and deployment by creating specialized analytics frameworks and tools. We are seeking experienced software engineers to build analytical frameworks and tools that empower internal users to construct quantitative analysis pipelines and develop metrics. These metrics will support and accelerate feature design, prioritization, and development, as well as evaluate the impact of recently released features. Our analytics framework equally supports road event monitoring, data mining and training, and simulation metrics.
About the Organization: The Simulation, Evaluation, and Data organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies. The Metrics Frameworks team within this organization focuses on creating, maintaining, and evolving the analytics framework that supports GM's goal of safe, high-performing, and scalable driverless technology. The team delivers robust and scalable tools that facilitate data-driven decision-making throughout the AV feature development lifecycle. We collaborate closely with Simulation Evaluation, Embodied AI, and System and Test Engineering teams to enhance productivity across the organization by developing automation tools and shared libraries for all engineering teams. We are accountable for the performance, reliability, and scalability OKRs of the analytics framework. This includes, but is not limited to, developing customized analytics workflows, improving operational telemetry and dashboards to track relevant KPIs for prioritization, and identifying, designing, and implementing solutions to achieve key results.
What You’ll Do:
- Create tooling that can receive signals from various sources (Simulation, Road, etc) and allow users to easily build quantitative analysis pipelines to extract usable insights.
- Accelerate team’s effectiveness and efficiency by designing and implementing scalable automation tools for test creation, data collection and analysis, debugging, and performance monitoring.
- Design and implement extensible and well-tested shared libraries that will be used by many engineers across the organization.
- Collaborate with other frameworks and data infra teams to build and deploy tools to improve productivity.
- Work closely with autonomous vehicle engineering to enable rapid development and model feedback.
- Maintain a high technical standard for code quality on the team, through architectural design and code reviews.
Your Skills & Abilities:
- Experience developing scalable software solutions that will be used by many developers
- Experience writing Python and C++ in a production environment (unit testing, code review, algorithm performance and tradeoffs, etc.)
- Experience developing automation scripts (Python and Bash scripts)
- BS in Computer Science, Electrical Engineering, Mechanical Engineering, or Aerospace Engineering
- 5+ years of industry experience
- Strong organizational and communication skills
What Will Give You A Competitive Edge:
- Experience with SQL and related tools/tech (Big Query, DuckDB, etc)
- Experience with time-series data analysis and online performance monitoring tools
- Experience building high performance framework/infrastructure and performance optimization in C++/Python
- Familiarity with ROS, Pandas, Python bindings for C++, and plotting/visualization libraries
- Familiarity with Data orchestration and transformation tools like AirTable, AirFlow, DBT, etc
Compensation:
- The salary range for this role is ($129,000 and $198,400). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the Mountain View, San Francisco, Warren or Milford Technical Center three times per week, at minimum.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Job Description
Role: As an AI/ML Engineer on the Metrics Frameworks team, part of the Simulation, Evaluation, and Data organization, you will be an individual contributor focused on developing and optimizing infrastructure to accelerate autonomous vehicle development, testing, and deployment by creating specialized analytics frameworks and tools. We are seeking experienced software engineers to build analytical frameworks and tools that empower internal users to construct quantitative analysis pipelines and develop metrics. These metrics will support and accelerate feature design, prioritization, and development, as well as evaluate the impact of recently released features. Our analytics framework equally supports road event monitoring, data mining and training, and simulation metrics.
About the Organization: The Simulation, Evaluation, and Data organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies. The Metrics Frameworks team within this organization focuses on creating, maintaining, and evolving the analytics framework that supports GM's goal of safe, high-performing, and scalable driverless technology. The team delivers robust and scalable tools that facilitate data-driven decision-making throughout the AV feature development lifecycle. We collaborate closely with Simulation Evaluation, Embodied AI, and System and Test Engineering teams to enhance productivity across the organization by developing automation tools and shared libraries for all engineering teams. We are accountable for the performance, reliability, and scalability OKRs of the analytics framework. This includes, but is not limited to, developing customized analytics workflows, improving operational telemetry and dashboards to track relevant KPIs for prioritization, and identifying, designing, and implementing solutions to achieve key results.
What You’ll Do:
- Create tooling that can receive signals from various sources (Simulation, Road, etc) and allow users to easily build quantitative analysis pipelines to extract usable insights.
- Accelerate team’s effectiveness and efficiency by designing and implementing scalable automation tools for test creation, data collection and analysis, debugging, and performance monitoring.
- Design and implement extensible and well-tested shared libraries that will be used by many engineers across the organization.
- Collaborate with other frameworks and data infra teams to build and deploy tools to improve productivity.
- Work closely with autonomous vehicle engineering to enable rapid development and model feedback.
- Maintain a high technical standard for code quality on the team, through architectural design and code reviews.
Your Skills & Abilities:
- Experience developing scalable software solutions that will be used by many developers
- Experience writing Python and C++ in a production environment (unit testing, code review, algorithm performance and tradeoffs, etc.)
- Experience developing automation scripts (Python and Bash scripts)
- BS in Computer Science, Electrical Engineering, Mechanical Engineering, or Aerospace Engineering
- 5+ years of industry experience
- Strong organizational and communication skills
What Will Give You A Competitive Edge:
- Experience with SQL and related tools/tech (Big Query, DuckDB, etc)
- Experience with time-series data analysis and online performance monitoring tools
- Experience building high performance framework/infrastructure and performance optimization in C++/Python
- Familiarity with ROS, Pandas, Python bindings for C++, and plotting/visualization libraries
- Familiarity with Data orchestration and transformation tools like AirTable, AirFlow, DBT, etc
Compensation:
- The salary range for this role is ($129,000 and $198,400). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the Mountain View, San Francisco, Warren or Milford Technical Center three times per week, at minimum.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
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Mid Level AI ML Engineering Jobs: Frequently Asked Questions
How do I get a mid level ai ml engineering job?
Position yourself around ownership, not just contribution. Highlight projects where you drove the full lifecycle, from problem framing through deployment and monitoring, rather than tasks you completed within someone else's design. Employers at this level want evidence that you can operate independently, so lead your resume and interviews with outcomes you owned and decisions you made, not just tools you used.
Which companies hire mid level ai ml engineerings?
Companies hiring mid level ai ml engineerings right now include General Motors, Amazon Web Services, and Apple, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a wide range of employers, including large technology platforms, financial services firms, healthcare organizations, and growth-stage startups building out their applied machine learning functions.
Are there remote mid level ai ml engineering jobs?
Yes, remote and hybrid options are common at this level. About 56% of mid level ai ml engineering openings are remote or hybrid as of September 2026, reflecting how well the work lends itself to distributed teams. On-site roles do exist, particularly at companies where model deployment is tied to proprietary infrastructure or regulated data environments.
How do I move up to a mid level ai ml engineering role?
The path from entry level to mid level is built on accumulated ownership. Early in your career you contribute to existing systems, but progression comes from taking on complete projects, proposing and defending technical approaches, and demonstrating that your work ships reliably without close supervision. Deepening in one area, such as model training, feature engineering, or ML infrastructure, while showing you can connect that work to business outcomes, is what signals readiness for a mid level designation.
Which industries hire the most mid level ai ml engineerings?
Mid Level ai ml engineering roles concentrate in Banking & Financial Services, Electronics & Hardware, and Automotive, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at this level because they are investing in moving machine learning from experimentation into production systems that require engineers who can own that transition without constant oversight.