AI/ML Engineer, Autonomous Vehicles: Simulation (PhD)

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    General Motors

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    10,001+ employeesDetroit, MichiganMotor Vehicle Manufacturing
    Actively hiringPaidSummer 2027Motor Vehicle Manufacturing
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    Best applied by Oct 5

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    About the role#

    As a PhD AI/ML Engineering Intern at General Motors, you will work within the Autonomous Vehicles organization to translate research into validated systems. You will focus on areas such as perception, prediction, planning, decision-making, and simulation. You will work with large-scale sensor data and modern machine learning methods to build and assess models. This role involves collaborating with researchers and engineers to design experiments, investigate failure cases, and integrate new approaches into autonomous vehicle systems.

    What you'll do#

    • Research and prototype machine learning methods for perception, prediction, planning, or decision-making.
    • Design, train, and improve models using large-scale multimodal driving and sensor data.
    • Build data pipelines, experimentation workflows, and evaluation tools for model iteration.
    • Validate models through simulation, testing, performance analysis, and failure-case investigation.
    • Optimize models and systems for scalability, latency, reliability, and deployment constraints.
    • Collaborate with partners to integrate prototypes into autonomous vehicle systems.
    • Document findings, present technical insights, and contribute to research outputs.

    What you'll need#

    • Currently enrolled full-time in a PhD program in computer science, machine learning, artificial intelligence, robotics, engineering, or a related STEM field.
    • At least one additional quarter or semester of school remaining following the internship.
    • Demonstrated depth of AI/ML research through publications, research projects, or advanced coursework.
    • Strong understanding of modern machine learning and deep learning methods.
    • Proficiency in Python and hands-on experience with an ML framework such as PyTorch, TensorFlow, or JAX.
    • Experience designing experiments, analyzing results, and applying quantitative problem-solving methods.
    • Strong programming, debugging, and software development fundamentals.
    • Strong communication skills.
    • Availability to work full-time, 40 hours per week, during the internship.

    Location & details#

    • Location: Sunnyvale, California.
    • Term: Summer 2027.
    • Modality: Hybrid (expected to be on-site at least three times per week).
    • Employment: Full-time, paid internship.
    Relevant fieldsComputer ScienceOther

    About General Motors

    General Motors is a public company based in Detroit, Michigan. It operates in the motor vehicle manufacturing industry. The company employs over 106,000 people. Its work spans the design and production of cars, trucks, and transportation technology, including software, electrification, and AI.

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