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Contractual Machine Learning Government Jobs in Michigan

Eccalon LLC

AI Expert Robotics - onsite

Detroit, MI

Integrate machine learning and artificial intelligence models into robotic platforms and embedded ... Experience supporting government, defense, or regulated programs * Ability to obtain and maintain a ...

Eccalon LLC

AI Expert- Software

Detroit, MI

Integrate machine learning models, LLMs, and AI services into backend and full-stack systems ... Background supporting government, defense, or regulated environments. * Ability to obtain and ...

THOMSON REUTERS

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

... government professionals work across the globe. As a member of Thomson Reuters Labs, you will have ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Little Caesars

Applied AI Engineer

Detroit, MI · On-site

$113K - $136K/yr

... machine learning and generative AI solutions that address prioritized business use casesCreate APIs ... They are not contractual in nature and are subject to change at the discretion of Little Caesars ...

Ilitch

Applied AI Engineer

Detroit, MI · On-site

Build and productionize machine learning and generative AI solutions that address prioritized ... They are not contractual in nature and are subject to change at the discretion of Little Caesars ...

Little Caesars

Applied AI Engineer

Detroit, MI · On-site

Build and productionize machine learning and generative AI solutions that address prioritized ... They are not contractual in nature and are subject to change at the discretion of Little Caesars ...

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Contractual Machine Learning Government information

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Contractual Machine Learning Government jobs near you
Infographic showing various Contractual Machine Learning Government job openings in Michigan as of July 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.
Machine Learning for Robotics

Machine Learning for Robotics

General Motors

Warren, MI • On-site

Full-time

Posted 23 days ago

General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 304 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,262 frontline employees who took The Breakroom Quiz

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.

Working at General Motors

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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

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