Mid Level AI ML Intern Jobs
Mid level ai ml intern jobs go to candidates ready to own model development pipelines, mentor junior contributors, and make architectural trade-offs with limited day-to-day oversight. Openings run across Banking & Financial Services, Electronics & Hardware, and Technology & Software, with a strong mix of remote and on-site positions, and employers like JPMorganChase, Apple, and General Motors hiring at this level now.
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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 Intern Jobs: Frequently Asked Questions
How do I get a mid level ai ml intern job?
Position yourself around ownership, not just participation. Highlight projects where you drove decisions on model selection, data pipeline design, or evaluation frameworks rather than supporting someone else's work. Tailor your application to show hands-on experience with production-adjacent ML systems, clear metrics from past work, and comfort operating with limited supervision. Recruiters at this level are looking for depth in at least one domain alongside demonstrated cross-functional collaboration.
Which companies hire mid level ai ml interns?
Companies hiring mid level ai ml interns right now include JPMorganChase, Apple, and General Motors, based on current listings on Migrate Mate as of August 2026. Hiring at this level comes from a mix of large technology firms with dedicated ML research teams and fast-growing startups that need engineers who can contribute independently from day one.
Are there remote mid level ai ml intern jobs?
Yes, and the share is substantial. About 46% of mid level ai ml intern openings are remote or hybrid as of August 2026, reflecting how deeply distributed work has taken hold across AI and ML teams. Both large enterprises and lean startups offer flexible arrangements, so location is rarely a hard constraint for candidates at this experience level.
How do I move up to a mid level ai ml intern role?
The progression from entry level centers on building ownership over time. Early-career contributors typically start by executing defined tasks, then gradually take on full model development cycles, lead experiments independently, and begin mentoring newer teammates. Demonstrating measurable impact, such as improved model accuracy or reduced pipeline latency, combined with deeper specialization in an area like computer vision, NLP, or reinforcement learning, is what signals readiness for mid level responsibilities.
Which industries hire the most mid level ai ml interns?
Mid Level ai ml intern roles concentrate in Banking & Financial Services, Electronics & Hardware, and Technology & Software, based on current listings on Migrate Mate as of August 2026. These sectors drive hiring at this level because their data volumes, product complexity, and competitive pressure create sustained demand for engineers who can build and iterate on ML systems without close supervision.