Senior AI/ML Researcher

General Motors

AI/ML Senior Researcher in Smart Manufacturing Systems at GM. Focused on advanced manufacturing capabilities through AI/ML and leading-edge research.

Posted 7/23/2026full-timeWarren • Missouri • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building, validating, and deploying AI/ML models, with a strong focus on manufacturing engineering applications. Possesses advanced knowledge in machine learning, deep learning, and modern AI/ML workflows, complemented by excellent collaborative and communication skills.

Highest-signal resume keywords

PhD In Computer ScienceAI/ML Model DevelopmentDeep Learning ExpertiseManufacturing Process ModelingHigh Impact Publications

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningGenerative AILarge Language ModelsPhysics-Based Machine LearningData PipelinesModel TrainingModel EvaluationModel DeploymentLifecycle Management

Soft Skills

Collaborative SkillsEffective Communication

Industry Keywords

Manufacturing EngineeringApplied ResearchSimulationScientific ComputingProduction ManagementOperations Optimization

About the role

Key responsibilities & impact

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.

Requirements

What you’ll 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.

Benefits

Comp & perks

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Non-Discrimination and Equal Employment Opportunities