STEM OPT ML Engineer Jobs
ML Engineer roles qualify for STEM OPT because they fall under computer science and engineering CIP codes, giving you up to 24 months of additional work authorization beyond your initial OPT period. Your employer must be enrolled in E-Verify, and you'll need an approved I-983 training plan tied to a qualifying STEM degree.
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This role is categorized as hybrid. This means the successful candidate is expected to report to the office in [Austin, Detroit, Warren, Milford, Mountain View or Sunnyvale] a minimum of 3 days per week. This position can be considered Remote if the successful candidate is in the Seattle, Washington area.
About us
The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive our cars forward. Tools and services we work on enhance the entire development process of engineers at GM — how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world-class tools and a seamless development experience so that they can focus on the problems that matter most in their domain.
The Role
We are looking for a Senior Engineer with an extensive engineering background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As a leader on this team, we are looking for someone who cares deeply about the technical development of other engineers on the team and can effectively balance the needs and priorities of the business, our users, and the growth of our engineers.
The Team
Build Platform owns creating the build system and tooling that supports our AV and AI developers. We use Bazel in front of an in-house Remote Bazel Executor (RBE) and Content Addressable Storage (CAS) to provide a premier build experience at Cruise. Our team is constantly on the lookout for optimizations and new tooling that improves our product. GM AI developers are heavy users of Python and Docker. The speed at which they can iterate directly impacts the rate at which our AVs improve. The tooling and workflows that Build Platform provides are central to the productivity of our AI developers. Improvements in this space quickly lead to enormous impact for Cruise.
The way this engineer will deliver impact may vary depending on the situation but they will be expected to deliver complete solutions to existing problems from ideation to production and effectively communicate with stakeholders.
What You’ll Do (Responsibilities)
- Design and implement improvements to our Python development ecosystem and workflows, which have a measurable and direct impact on engineering productivity.
- Collaborate with engineers across the company to understand and support their development workflows.
- Own technical projects from start to finish and be responsible for major technical decisions and tradeoffs.
- Lead complex projects that span teams, with many partners and customers.
- Effectively participate in planning, code reviews, and design discussions.
- Contribute impactful projects to the team’s roadmap.
- Thrive in a fast-paced, collaborative work environment where impact is a result of your efforts and where your contribution is highly visible.
- Drive software engineering best practices both within our team and across engineering. Create tooling that encourages and supports these practices.
- Mentoring and up-leveling other engineers on the team.
- Conduct technical interviews with well-calibrated standards and play a crucial role in recruiting activities.
- Be a positive contributor to our team culture.
Minimum Qualifications (Must-Have)
- 3+ years of experience leading and driving large-scale, cross-team initiatives
- Bachelors Degree in Computer Science or related field or equivalent work experience
- Experience working on developer tooling, Python, docker, etc.
- Experience leading projects across multiple teams
- Attention to detail, and a desire to improve processes & systems around you
- Deep understanding of the business and operational impact for different technology tradeoffs
- Passionate about self-driving technology and its potential impact on the world
Preferred Qualifications (Nice-to-Have)
- 5+ years experience designing, building, and operating production systems at scale in the cloud
- Experience programming with C++ or Go
- Experience with compilers (clang, gcc, nvcc, etc)
- Experience with build systems such as Bazel or Buck
- Experience with cloud infrastructure
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
- The salary range for this role: is $170,000 to $240,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
- Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
- Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits.
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
This role is categorized as hybrid. This means the successful candidate is expected to report to the office in [Austin, Detroit, Warren, Milford, Mountain View or Sunnyvale] a minimum of 3 days per week. This position can be considered Remote if the successful candidate is in the Seattle, Washington area.
About us
The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive our cars forward. Tools and services we work on enhance the entire development process of engineers at GM — how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world-class tools and a seamless development experience so that they can focus on the problems that matter most in their domain.
The Role
We are looking for a Senior Engineer with an extensive engineering background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As a leader on this team, we are looking for someone who cares deeply about the technical development of other engineers on the team and can effectively balance the needs and priorities of the business, our users, and the growth of our engineers.
The Team
Build Platform owns creating the build system and tooling that supports our AV and AI developers. We use Bazel in front of an in-house Remote Bazel Executor (RBE) and Content Addressable Storage (CAS) to provide a premier build experience at Cruise. Our team is constantly on the lookout for optimizations and new tooling that improves our product. GM AI developers are heavy users of Python and Docker. The speed at which they can iterate directly impacts the rate at which our AVs improve. The tooling and workflows that Build Platform provides are central to the productivity of our AI developers. Improvements in this space quickly lead to enormous impact for Cruise.
The way this engineer will deliver impact may vary depending on the situation but they will be expected to deliver complete solutions to existing problems from ideation to production and effectively communicate with stakeholders.
What You’ll Do (Responsibilities)
- Design and implement improvements to our Python development ecosystem and workflows, which have a measurable and direct impact on engineering productivity.
- Collaborate with engineers across the company to understand and support their development workflows.
- Own technical projects from start to finish and be responsible for major technical decisions and tradeoffs.
- Lead complex projects that span teams, with many partners and customers.
- Effectively participate in planning, code reviews, and design discussions.
- Contribute impactful projects to the team’s roadmap.
- Thrive in a fast-paced, collaborative work environment where impact is a result of your efforts and where your contribution is highly visible.
- Drive software engineering best practices both within our team and across engineering. Create tooling that encourages and supports these practices.
- Mentoring and up-leveling other engineers on the team.
- Conduct technical interviews with well-calibrated standards and play a crucial role in recruiting activities.
- Be a positive contributor to our team culture.
Minimum Qualifications (Must-Have)
- 3+ years of experience leading and driving large-scale, cross-team initiatives
- Bachelors Degree in Computer Science or related field or equivalent work experience
- Experience working on developer tooling, Python, docker, etc.
- Experience leading projects across multiple teams
- Attention to detail, and a desire to improve processes & systems around you
- Deep understanding of the business and operational impact for different technology tradeoffs
- Passionate about self-driving technology and its potential impact on the world
Preferred Qualifications (Nice-to-Have)
- 5+ years experience designing, building, and operating production systems at scale in the cloud
- Experience programming with C++ or Go
- Experience with compilers (clang, gcc, nvcc, etc)
- Experience with build systems such as Bazel or Buck
- Experience with cloud infrastructure
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
- The salary range for this role: is $170,000 to $240,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
- Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
- Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits.
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.
See all 1,187+ ML Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Engineer roles.
Get Access To All JobsTips for Finding STEM OPT Authorization as a ML Engineer
Verify your CIP code matches ML Engineering
Check your degree's Classification of Instructional Programs code against the DHS STEM OPT designated degree list before applying. Computer Science (11.0701), Electrical Engineering (14.1001), and Applied Mathematics (27.0301) are common qualifying codes for ML Engineer roles.
Confirm E-Verify enrollment before accepting offers
Ask recruiters for their E-Verify company ID or check enrollment status directly through the E-Verify employer search tool. An employer not enrolled in E-Verify cannot legally support your STEM OPT extension, regardless of how eager they are to hire you.
Use Migrate Mate to filter ML Engineer roles by E-Verify status
Search ML Engineer positions on Migrate Mate to surface employers already verified for STEM OPT eligibility. This cuts the research time of manually cross-referencing job postings against E-Verify enrollment records before you invest in an application.
Build your I-983 training plan around ML deliverables
Draft your I-983 before your offer letter is finalized so your hiring manager can sign off quickly. Map specific ML Engineering tasks, such as model training pipelines and production deployment, to your STEM degree's learning objectives to satisfy USCIS review standards.
Target employers with active H-1B filing history in ML roles
Companies that regularly file H-1B petitions for software and ML roles have established immigration infrastructure and understand STEM OPT reporting obligations. DOL LCA disclosure data shows which employers file for ML Engineer-adjacent SOC codes year over year.
Time your STEM OPT application to cover your start date
File your STEM OPT extension with your DSO at least 90 days before your initial OPT expires. USCIS recommends submitting Form I-765 early enough that your EAD arrives before your authorization lapses, protecting your ability to start on your target date.
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Find ML Engineer JobsFrequently Asked Questions
Does an ML Engineer role qualify for the STEM OPT extension?
ML Engineer positions typically qualify when your employer maps the role to a STEM-designated SOC code, such as Software Developers (15-1252) or Computer and Information Research Scientists (15-1221), and your degree falls under a qualifying CIP code. Confirm the match with your DSO before filing. You can verify the SOC classification for ML Engineering work through O*NET.
What STEM degrees are accepted for an ML Engineer STEM OPT extension?
Degrees in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, and Data Science are commonly accepted, provided they appear on the DHS STEM Designated Degree Program list under their respective CIP codes. A degree in a non-STEM field does not qualify even if your coursework included machine learning. Your DSO can confirm your specific CIP code eligibility before you apply.
How do I verify that an ML Engineer employer is enrolled in E-Verify?
Use the E-Verify employer search tool to look up any company by name before accepting an offer. Enrollment in E-Verify is a legal requirement for STEM OPT employers, not an optional benefit. If a company is not enrolled, they cannot legally employ you under the STEM OPT extension. Migrate Mate surfaces ML Engineer roles from E-Verify-enrolled employers so you can focus your search efficiently.
What goes into an I-983 training plan for an ML Engineer position?
Your I-983 must describe how the ML Engineer role provides practical training related to your STEM degree. Include specific responsibilities such as developing neural network architectures, running model validation pipelines, or deploying inference systems, and explain how each connects to your academic coursework. Both you and your employer's authorized representative must sign it, and your DSO must review and maintain it throughout your extension period.
Does cap-gap protection apply if my H-1B is selected while I work as an ML Engineer on STEM OPT?
Yes. If your employer files an H-1B petition on your behalf before your STEM OPT EAD expires, cap-gap protection automatically extends your work authorization through September 30 of that fiscal year, or until your H-1B start date of October 1, whichever comes first. You can continue working as an ML Engineer without interruption as long as the petition remains pending or approved. USCIS provides formal guidance on cap-gap eligibility on its website.
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