R&D Researcher – AI and Machine Learning

General Motors Company; Warren (MI); On-site; USD 120,000 - 190,000; Full time

Job summary

General Motors Company is seeking an AI/ML Researcher for Advanced Manufacturing Systems in Warren, MI. You will tackle real-world manufacturing challenges by developing AI/ML models, building prototypes, and creating data pipelines to improve quality, process efficiency, and decision support.

You will collaborate with manufacturing engineers, plant teams, and external partners, translating engineering problems into research plans and communicating results through publications and presentations.

Qualifications

• Master’s degree or PhD in a related field with research experience.
• Experience developing and evaluating AI/ML models in research or industry.
• Proficiency in Python and AI/ML frameworks/tools.
• Knowledge of data preparation, model training, validation, and experiments.

Responsibilities

• Develop and apply AI/ML solutions for advanced manufacturing.
• Build prototypes and data pipelines to support production insights.
• Collaborate with cross-functional teams and external partners.
• Evaluate results and communicate findings through reports and publications.
• Stay current on AI/ML methods and responsible AI practices.

Skills

Python

AI/ML modeling

Data analysis

Experiment design

Collaboration

Education

Master’s degree or PhD in Computer Science / AI / ML / Data Science / Engineering

Tools

PyTorch

TensorFlow

scikit-learn

Keras

MATLAB

R

SQL

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.