Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,319 postings in the last year. Stated ranges, not salaries paid.
2027 Summer Intern - Research and Development - Machine Learning for Automation
Warren, Michigan, United States of America
Live, first seen by us 25 days ago- Pay
- Pay not listedSimilar roles state $166K–$240K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- New graduates
- For current students
Must be a current student
- Work authorization
- US citizens or permanent residents only
The position is subject to export control restrictions and requires the successful candidate to be a US Person (US citizen,
What you’ll work on
Full postingDevelop reinforcement learning and imitation learning methods for robots
Apply learning methods to grasping and dexterous manipulation
Apply learning to contact-rich assembly and force-sensitive operations
Share results through presentations, documentation and publications
From the employer’s posting
Reinforcement learning (RL) Imitation learning and learning from demonstration
Grasping and dexterous manipulation
Contact-rich assembly and force-sensitive operations
through technical presentations, intellectual property, technical documentation, and publication
What you’ll bring
All qualificationsCore experience
- Pursuing a Masters or PhD in ML, robotics, computer science or related field
- Must be a current student
- Strong background training policies for grasping or manipulation
- Able to work full time, 40 hours per week in summer
Preferred experience
- Experience with:- Dexterous and multi-contact manipulation
- Experience in industrial or automotive manufacturing environments
Qualification wording
Pursuit of an advanced degree (Masters or PhD)
Must be a current student
Strong academic and applied background in machine learning, with experience training policies for grasping, manipulation, contact-rich assembly, or other robotic skills.
Able to work fulltime, 40 hours per week during the summer months
Experience with:- Dexterous and multi-contact manipulation
Experience in industrial or automotive manufacturing environments
Education & alternatives
Required Qualifications: - Pursuit of an advanced degree (Masters or PhD) in one of the following areas: Machine Learning, Physical Robotics, Computer Science, or a closely related field from a leading university - Strong academic and applied background in machine learning, with experience training policies for grasping, manipulation, contact-rich assembly, or other robotic skills.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 12, 202625 days ago
- Recorded sightings
- 67
- Last seen by us
- Nov 7, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 25
Similar jobs usually come down between day 6 and day 71.
At General Motors, jobs usually come down by about day 14.
From 4,633 similar postings that came down, and 135 of General Motors’s. Coming down is not always a hire.
General Motors is hiring
48 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- ML Engineer hiring is picking up
- Takes jobs down at a usual pace
- 6% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- PyTorch
- TensorFlow
- C++
Where the posting names them
- Strong academic and applied background in machine learning, with experience training policies for grasping, manipulation, contact-rich assembly, or other robotic skills. - Strong programming and system development skills (Python, C++, PyTorch/TensorFlow) - Must be a current student
Your next step
Complete your application on generalmotors.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
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- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
About General Motors
- People
- About 13,474 in 2025.Benefit plan filings (Form 5500)
- Company
- Listed as GM.
- H-1B visas
- 163 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Job Description
The Role:
General Motors is seeking a Summer Intern Researcher in Machine Learning for Automation to make meaningful contributions towards driving the development and deployment of advanced learning methods for intelligent robotic systems in manufacturing. This role requires deep technical expertise in machine learning and physical robotics combined with a desire to apply these methods to complex, real-world robotic challenges, supporting the development of next-generation automation and flexible production systems.
This summer internship will provide an opportunity to make meaningful contributions as part of a leading industrial research organization toward the future of intelligent automation at GM by enabling robotic systems capable of learning, adapting, and performing complex manipulation, processing, and assembly tasks in real-world production environments—unlocking new levels of flexibility, efficiency, and capability in manufacturing.
What You’ll Do:
- Make meaningful contributions in the development and application of advanced machine learning techniques for robotic systems, which may include:
- Reinforcement learning (RL)
- Imitation learning and learning from demonstration
- Deep learning methods for perception, planning, and control
- Make meaningful contributions in the application of learning-based approaches to challenging robotic domains, including:
- Grasping and dexterous manipulation
- Mobile manipulation and coordinated motion
- Contact-rich assembly and force-sensitive operations
- Make meaningful contributions to GM’s technical leadership as appropriate through technical presentations, intellectual property, technical documentation, and publication.
Required Qualifications:
- Pursuit of an advanced degree (Masters or PhD) in one of the following areas: Machine Learning, Physical Robotics, Computer Science, or a closely related field from a leading university
- Strong academic and applied background in machine learning, with experience training policies for grasping, manipulation, contact-rich assembly, or other robotic skills.
- Strong programming and system development skills (Python, C++, PyTorch/TensorFlow)
- Must be a current student
- Able to work fulltime, 40 hours per week during the summer months
Preferred Qualifications:
- Experience with:
- Dexterous and multi-contact manipulation
- Mobile manipulation in dynamic or unstructured environments
- Learning-based control for contact-rich assembly
- Simulation-to-real transfer and data-efficient learning
- Foundation-model-enabled robotics, including vision-language-action models, transformer-based control architectures, world models, and emerging generative AI methods for robot planning and execution
- Experience in industrial or automotive manufacturing environments
- Publication record in leading conferences (e.g., ICRA, RSS, CoRL, NeurIPS)
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
Work Arrangement:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI three times per week, at minimum [or other frequency dictated by the business].
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program - to help facilitate administration of relocation benefits, please apply using the permanent address you would move from.
Start dates for this internship role are May 24th & June 14th of 2027.




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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Warren, Michigan, United States of America
Work Arrangement: Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI three times per week, at minimum [or other frequency dictated by the business]. GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program - to help facilitate administration of relocation benefits, please apply using the permanent address you would move from.
- Work authorization
- Publication record in leading conferences (e.g., ICRA, RSS, CoRL, NeurIPS) GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee). Work Arrangement:
More source context
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.