General Motors

AI/ML Senior Researcher

General Motors$120K — $150K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD or advanced degree in Computer Science, AI, ML, Applied Mathematics, Engineering, Physics, or related field with significant experience.
  • Demonstrated success in building and deploying AI/ML models in production or high-value applied research environments.
  • Deep expertise in AI domains, including machine learning, deep learning, LLMs, generative AI, and physics-based ML.
  • Strong understanding of AI/ML development workflows such as data pipelines, training, evaluation, and deployment.
  • Experience applying AI/ML to complex engineering and advanced manufacturing problems.
  • Proven track record of high-impact publications in peer-reviewed journals.

Responsibilities

  • Build, validate, deploy, and scale AI/ML models for manufacturing applications.
  • Lead technical work across various AI domains like classical ML and agentic AI.
  • Translate business problems into practical AI/ML solution strategies.
  • Serve as a technical authority on model development and data strategy.
  • Generate new ideas while conducting cutting-edge research with AI tools.
  • Drive technical assignments with minimal supervision.
  • Collaborate with researchers, operational groups, and universities.

Benefits

  • This position may be eligible for relocation benefits.
  • Flexible hybrid work schedule with in-office requirements.
  • Opportunity to work in an innovative and growth-driven environment.
Full Job Description
Job Description
Position: AI/ML Senior Researcher - Smart Manufacturing Systems Research Group

The Materials & Manufacturing Systems Research Lab at the General Motors R&D Center located in Warren, Michigan is seeking a technically exceptional AI/ML Senior Researcher with world class, Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), World Models, and Agentic AI skills to perform leading edge research in the area of Smart Manufacturing Systems.

This is an exciting growth area at GM R&D where researchers will be part of a dynamic team focused on improving GM's advanced manufacturing capabilities. Assignments will vary depending on background, but they will be expected to provide immediate technical and professional leadership in assignments to identify, define, and develop future strategic applications of AI into GM's future factory operations.

Researchers are also expected to counsel GM engineering management on manufacturing engineering process, practice and tool improvements, as well as carry out leadership roles in GM programs and/or projects. They will likely represent GM in a variety of research activities with contractors and academic collaborators, and at other GM Centers, and external agencies and technical organizations. In addition, researchers are expected to develop a strong record of invention, publishing and presenting.

The specific research focus of the Smart Manufacturing Research Group is to develop advanced AI/ML, Agentic AI, mathematical modeling and optimization approaches and build real-time, decision support tools that enable GM's plants to meet efficiency and quality goals. In this role, you will work hands-on to architect, build, deploy, and scale AI/ML models, agents, agentic systems that address complex manufacturing engineering and operations challenges. The ideal candidate is comfortable developing production-grade AI/ML solutions, evaluating emerging technologies, and engaging senior leaders in clear, actionable discussions on strategy, roadmap, and business impact. A background in manufacturing systems and process design, smart manufacturing, digital twins, simulation, statistics, quality management, control systems and machine vision would also be highly desirable. Experience with production operations is a plus.

What You Will Do
  • Build, validate, deploy, and scale AI/ML models for high-impact manufacturing engineering, research and development applications.
  • Lead technical work across a broad set of AI domains, including classical machine learning, deep learning, GenAI, Large Language Models, multimodal AI, agentic AI, World Models, and physics-based AI.
  • Translate business and engineering problems into practical AI/ML solution strategies and executable technical plans.
  • Serve as a technical authority on model development, deployment architectures, data strategy, evaluation methods, and responsible AI practices.
  • Generate new concepts and ideas while conducting research programs that apply the latest AI/ML tools
  • Drive technical assignments in a resourceful and timely manner with minimal supervision
  • Work well with fellow researchers, centers, operational groups, plant personnel and universities.
  • Maintain state-of-art technical skills and knowledge
  • Develop working relationships with internal and external subject matter experts
  • Effectively communicate and detail results through internal and external publication
  • Collaborate with global technical teams and lead discussions as an expert in manufacturing AI/ML

More About Who You Are
  • Recognized technical expert in AI/ML with the ability to span research, applied development, and deployment.
  • Strong strategic thinker who can connect technical opportunities to business value and organizational priorities.
  • Able to assess emerging AI capabilities pragmatically and distinguish hype from scalable business value.
  • Passionate about applying advanced AI to challenging real-world manufacturing engineering and scientific problems.
  • Effective at framing technical decisions, risks, and recommendations in ways that support executive decision-making.


What You Need
  • PhD or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Engineering, Physics, or a related field, with significant relevant experience.
  • Demonstrated success building and deploying AI/ML models in production or high-value applied research environments.
  • Deep expertise across multiple AI domains, including machine learning, deep learning, LLMs, generative AI, world models, and physics-based machine learning.
  • Strong understanding of modern AI/ML development workflows, including data pipelines, model training, evaluation, deployment, monitoring, and lifecycle management.
  • Experience applying AI/ML to complex technical domains such as engineering, simulation, scientific computing, and advanced manufacturing engineering.
  • Background in manufacturing process modeling, design, control, and optimization
  • Manufacturing engineering theory and principles of production management & operations
  • Excellent collaborative skills
  • Proven record of high impact publications in peer-reviewed conferences/journals

What Would Be Even Better
  • PhD in relevant field of study
  • 0-6 years of research experience beyond PhD. (university, research institution, or industrial research)
  • Background in manufacturing process modeling, design, control, and optimization with track record of successful manufacturing implementations
  • Proficient in data manipulation, analysis, and visualization
  • Structured database design and integration experience along with programming skills (e.g. SQL, C++, Python, R, Matlab)
  • Familiarity with AI tools: Scikit Learn, Tensorflow, Keras, PyTorch
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 General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

General Motors Careers

Join the dynamic team at General Motors, a global leader in automotive innovation and technology. At General Motors, we offer unparalleled job opportunities that propel your career forward while contributing to a legacy of engineering excellence.

Work You’ll Do

Embark on a career with General Motors to drive the future of mobility. Our team is dedicated to redefining the automotive landscape through innovation and leadership in electric vehicles and sustainable solutions. By joining us, you will be part of a culture that values diversity, teamwork, and continuous professional growth.

Transform Your Career

General Motors is not just a company; it's a community where you can grow your skills alongside the best in the industry. Our leadership is committed to providing every employee—from interns to senior professionals—with opportunities for career advancement, leadership development, and diversity training.

Innovate and Lead

At General Motors, innovation is at the core of everything we do. From research and development to manufacturing, our teams work collaboratively to lead the industry with cutting-edge technologies and sustainable practices. We encourage our employees to think big and push the boundaries of what’s possible.

Join Our Global Team

As part of our global workforce, you will collaborate with talented individuals who are passionate about shaping the future of transportation. General Motors offers a variety of career paths in engineering, design, IT, marketing, and more. With over 155,000 employees worldwide, our network provides expansive opportunities for networking and professional development.

Internship Programs and Employment Benefits

Start your career journey with a General Motors internship, where you can apply your academic knowledge to real-world projects. Our internships provide a robust foundation in the automotive industry, with mentorship from experienced leaders. Full-time employees enjoy a wealth of benefits, including comprehensive health care, retirement plans, and performance bonuses, ensuring that your hard work is rewarded.

Explore Job Opportunities

Whether you’re a seasoned professional or a recent graduate, General Motors offers positions that leverage your unique skills. Our hiring process is designed to identify and nurture talent, focusing on aligning your capabilities with the right opportunities for growth within the company.

Stay Connected

Join Our Team Search open positions that match your skills and interests. At General Motors, we look for innovative, driven, and solution-oriented team players. Explore the possibilities that await you in a career at General Motors.

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Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ

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