Mid Level AI/ML Researcher Jobs
Mid level ai/ml researcher jobs go to researchers ready to own experiments end to end, drive modeling decisions with limited oversight, and mentor junior teammates on methodology and best practices. Openings are concentrated in Technology & Software, Banking & Financial Services, and Electronics & Hardware, with a strong mix of remote and hybrid roles, and employers like JPMorganChase, General Motors, and Apple hiring at this level now.
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Showing 5 of 28+ Mid Level AI/ML Researcher 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 Researcher Jobs: Frequently Asked Questions
How do I get a mid level ai/ml researcher job?
Position yourself around ownership, not just contribution. Highlight projects where you defined the research direction, selected the modeling approach, and delivered measurable results with minimal guidance. A strong application shows depth in at least one domain, such as NLP, computer vision, or reinforcement learning, along with evidence you've shipped work that influenced a product or publication. Tailor your materials to the specific research problems the team is solving.
Which companies hire mid level ai/ml researchers?
Companies hiring mid level ai/ml researchers right now include JPMorganChase, General Motors, and Apple, based on current listings on Migrate Mate as of August 2026. Hiring at this level comes from a wide range of organizations, including technology firms building core AI products, enterprise companies scaling machine learning capabilities, and research-driven organizations across healthcare, finance, and defense.
Are there remote mid level ai/ml researcher jobs?
Yes, remote and hybrid options are common at this level. About 42% of mid level ai/ml researcher openings are remote or hybrid as of August 2026, reflecting how broadly research workflows have adapted to distributed teams. On-site roles still exist, particularly at labs and organizations where access to specialized hardware or in-person collaboration is part of the research process.
How do I move up to a mid level ai/ml researcher role?
The move from entry level to mid level happens as you build a pattern of independent contribution over time. Focus on deepening expertise in a specific research area, taking on progressively larger scopes within projects, and generating outputs that others can build on, whether that means published findings, reusable pipelines, or model improvements with clear impact metrics. Mentoring even one or two peers signals you're operating at the next level.
Which industries hire the most mid level ai/ml researchers?
Mid Level ai/ml researcher roles concentrate in Technology & Software, Banking & Financial Services, and Electronics & Hardware, based on current listings on Migrate Mate as of August 2026. These sectors drive the most hiring because they have both the data infrastructure and the product or operational complexity that makes sustained AI research investment worthwhile at the mid level.