R&D Researcher - AI and Machine Learning

Job Description AI/ML Researcher — Advanced Manufacturing Systems

At General Motors, our product teams are redefining mobility through human-centered design—creating vehicles and experiences made to be seen and felt. From breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment, we’re turning what seems impossible today into tomorrow’s standard.

Our products move millions of people every day. We’re working to make driving safer, smarter, and more connected—and to shape the future of transportation around the world.

The role

The R&D Manufacturing Systems Research Group is seeking a researcher to develop and apply artificial intelligence and machine learning (AI/ML) solutions for advanced manufacturing systems.

You’ll tackle real-world manufacturing challenges in areas such as process improvement, quality, automation, production efficiency, and decision support. Working with multidisciplinary teams, you’ll develop concepts, build prototypes, evaluate results, and help transition promising solutions into manufacturing applications.

What you’ll do

Conduct applied research and technical development at the intersection of AI/ML and manufacturing systems. Partner with researchers, manufacturing engineers, plant personnel, operations teams, and external collaborators to identify opportunities and develop practical solutions.

Key responsibilities

• Develop and evaluate AI/ML models for manufacturing engineering and production applications.
• Build data pipelines, prototypes, analytical tools, and decision-support solutions.
• Apply methods such as machine learning, deep learning, generative AI, large language models, computer vision, time-series modeling, and optimization.
• Work with manufacturing data from sensors, equipment, processes, simulations, and operational systems.
• Translate engineering and manufacturing challenges into research questions and technical plans.
• Design experiments, validate results, and assess technical and business impact.
• Evaluate emerging AI/ML technologies for their potential value to GM manufacturing systems.
• Collaborate with cross-functional teams, universities, suppliers, and technical experts.
• Communicate results through presentations, reports, publications, and invention disclosures.
• Stay current on AI/ML methods, tools, and responsible AI practices.

Required qualifications

• Master’s degree or PhD in computer science, artificial intelligence, machine learning, data science, engineering, applied mathematics, physics, or a related field.
• Experience developing and evaluating AI/ML models through academic or industrial research, internships, or applied engineering projects.
• Proficiency in Python and experience with AI/ML frameworks or analytical tools.
• Knowledge of data preparation, model training, validation, performance evaluation, and experiment design.
• Experience working with structured or unstructured data, such as sensor, time-series, image, text, or process data.
• Strong analytical, problem-solving, communication, and collaboration skills.
• Ability to work independently and contribute effectively to a multidisciplinary research team.

Preferred qualifications

• Experience applying AI/ML to manufacturing, engineering, robotics, automation, scientific computing, or industrial operations.
• Knowledge of manufacturing process modeling, process control, quality systems, production systems, optimization, or operations research.
• Experience with one or more of the following: computer vision, anomaly detection, predictive maintenance, digital twins, simulation, reinforcement learning, generative AI, large language models, or agentic systems.
• Experience with tools such as PyTorch, TensorFlow, scikit-learn, Keras, MATLAB, R, SQL, or cloud-based AI/ML platforms.
• Experience designing data architectures, integrating databases, or deploying models into operational environments.
• Familiarity with MLOps, model monitoring, model lifecycle management, and responsible AI.
• Peer-reviewed publications, conference presentations, patents, or invention disclosures.
• Experience collaborating with universities, suppliers, research institutions, or distributed technical teams.

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}. Relocation benefits are available for candidates who qualify under company policy.

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 .

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