Entry-Level AI and Machine Learning Researcher

General Motors

. Contribute to the development and application of advanced machine learning techniques for robotic systems .

Posted 10/12/2026internshipWarren • Michigan • United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced machine learning techniques, particularly in reinforcement learning, imitation learning, and deep learning for robotic systems. Proficient in programming with Python and C++, with a strong focus on applications in manufacturing and automation.

Highest-signal resume keywords

Machine LearningReinforcement LearningPython ProgrammingC++ ProgrammingDeep Learning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningReinforcement LearningImitation LearningDeep LearningGraspingDexterous ManipulationMobile ManipulationContact-Rich AssemblyForce-Sensitive OperationsSimulation-to-Real Transfer

Tools & Technologies

PyTorchTensorFlow

Industry Keywords

Robotic SystemsAutomationFlexible Production SystemsManufacturingTechnical DocumentationIntellectual Property

Tech Stack

Tools & technologies

AssemblyPythonPyTorchTensorflowC++

About the role

Key responsibilities & impact

Contribute to the development and application of advanced machine learning techniques for robotic systems
Apply reinforcement learning, imitation learning, learning from demonstration, and deep learning for perception, planning, and control
Apply learning-based approaches to grasping, dexterous manipulation, mobile manipulation, coordinated motion, contact-rich assembly, and force-sensitive operations
Contribute to the development of next-generation automation and flexible production systems
Support intelligent robotic systems in manufacturing
Contribute to GM’s technical leadership through technical presentations, intellectual property, technical documentation, and publications

Requirements

What you’ll need

Pursuing a master's or PhD in Machine Learning, Physical Robotics, Computer Science, or a closely related field from a leading university
Must be graduating between August 2026 and June 2027
Able to work full-time, 40 hours per week
Strong academic and applied background in machine learning
Experience training policies for grasping, manipulation, contact-rich assembly, or other robotic skills
Strong programming and system development skills in Python, C++, and PyTorch/TensorFlow
U.S. Person required: U.S. citizen, U.S. permanent resident, asylee, or refugee
Must not require GM immigration sponsorship now or in the future, including H-1B, OPT, STEM OPT, CPT, TN, J-1, or other immigration support
Position subject to export control restrictions
Preferred: experience with dexterous and multi-contact manipulation
Preferred: experience with mobile manipulation in dynamic or unstructured environments
Preferred: experience with learning-based control for contact-rich assembly
Preferred: experience with simulation-to-real transfer and data-efficient learning
Preferred: experience with foundation-model-enabled robotics, vision-language-action models, transformer-based control architectures, world models, and generative AI methods for robot planning and execution
Preferred: experience in industrial or automotive manufacturing environments
Preferred: publication record in leading conferences such as ICRA, RSS, CoRL, or NeurIPS

Benefits

Comp & perks

Relocation benefits administration support if selected
Benefits and Total Rewards resources
Reasonable accommodations for applicants with disabilities