ZipRecruiter

Log In

1

Quantitative Researcher Machine Learning Jobs in Michigan

Eccalon LLC

Machine Learning Engineer

Detroit, MI

The Machine Learning Engineer will be an essential member of the Research and Development Team, where we engineer large tailor-made systems to solve complex data-related problems from many domains.

Stefanini

Machine Learning Engineer

Allen Park, MI

... Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy ...

New

Stefanini Group

Machine Learning Engineer

Allen Park, MI · On-site

$61 - $66/hr

Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy ...

Ascentt

Senior Machine Learning Engineer

Ann Arbor, MI

$102K - $140K/yr

Senior Machine Learning Engineer Ascentt is building cutting-edge data analytics & AI/ML solutions ... Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative ...

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $160K/yr

Desired Qualifications * 0-4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing-or a strong recent graduate with demonstrated ...

Autodesk

Senior Machine Learning Test Engineer

Novi, MI · On-site +1

$103K - $134K/yr

United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team, you will work side-by-side with researchers, Machine Learning developers and ...

next page

Showing results 1-20

All JobsQuantitative Researcher Machine Learning JobsQuantitative Researcher Machine Learning Jobs in Michigan

Quantitative Researcher Machine Learning information

What are popular job titles related to Quantitative Researcher Machine Learning jobs in Michigan? For Quantitative Researcher Machine Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Quantitative Researcher Machine Learning jobs in Michigan look for? The top searched job categories for Quantitative Researcher Machine Learning jobs in Michigan are:
What cities in Michigan are hiring for Quantitative Researcher Machine Learning jobs? Cities in Michigan with the most Quantitative Researcher Machine Learning job openings:
Quantitative Researcher Machine Learning jobs near you
Machine Learning for Robotics

Machine Learning for Robotics

General Motors

Warren, MI • On-site

Full-time

Posted 15 days ago

General Motors rating

8.1

Company rating: 8.1 out of 10

Based on 305 frontline employees who took The Breakroom Quiz

5th of 44 rated automakers

Job description

Job Description
JR-202607217
Job Title: Staff Researcher - Machine Learning for Robotics
Role Overview
General Motors is seeking a Staff Researcher in Machine Learning for Robotics to drive the development and deployment of advanced learning methods for intelligent robotic systems in manufacturing. This role requires deep technical expertise in machine learning combined with a proven ability to apply these methods to complex, real-world robotic challenges, enabling next-generation automation and flexible production systems.
Key Responsibilities
  • Lead the development and application of advanced machine learning techniques for robotic systems, including:
    • Reinforcement learning (RL)
    • Imitation learning and learning from demonstration
    • Deep learning methods for perception, planning, and control
  • Apply learning-based approaches to challenging robotic domains, including:
    • Grasping and dexterous manipulation
    • Mobile manipulation and coordinated motion
    • Contact-rich assembly and force-sensitive operations
  • Design, implement, and validate machine learning solutions on physical robotic platforms, from concept to production.
  • Translate research innovations into scalable, production-ready capabilities for manufacturing environments
  • Define technical direction and research roadmaps for learning-based robotics within GM
  • Mentor junior researchers and engineers, elevating the overall team capability in AI-driven robotics
  • Contribute to GM's technical leadership through intellectual property, publications, and external technical engagement

Required Qualifications
  • PhD in Machine Learning, Robotics, Computer Science, or a closely related field from a leading university, or a MS with 3+ years of experience
  • Strong academic and applied background in machine learning, with demonstrated experience training policies for grasping, manipulation, contact-rich assembly, or other robotic skills.
  • Strong programming and system development skills (Python, C++, PyTorch/TensorFlow)

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) and/or strong patent portfolio
  • Proven ability to lead technical initiatives and influence cross-functional teams

Staff-Level Expectations
  • Demonstrated experience in project leadership, taking project(s) from initiation through implementation.
  • Acts as a subject matter expert in machine learning for robotics across GM
  • Drives the application of AI to high-impact manufacturing problems
  • Balances cutting-edge research with robustness, safety, and scalability requirements for production deployment

Impact
This role will help shape the future of intelligent automation at GM by enabling robotic systems capable of learning, adapting, and performing complex manipulation and assembly tasks in real-world production environments-unlocking new levels of flexibility, efficiency, and capability in manufacturing.
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).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.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, emailus 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.

What General Motors employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

General Motors logo

About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

View All General Motors Jobs

Apply