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    Internships/Flexion Robotics

    Research Internship

    Flexion Robotics · San Francisco, California, United States

    Summer 2026On-sitePaidPosted 2026-05-13
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    About the role#

    Flexion Robotics is establishing a new US research team in San Francisco. This internship offers graduate researchers the opportunity to address complex robotics problems and deploy solutions on real hardware. Interns work alongside a global team on challenges without existing solutions, with a potential path to a full-time Research Scientist position upon completion.

    What you'll do#

    • Take on high-impact research problems and deploy solutions on real robotic hardware.
    • Collaborate with a global team on unsolved robotics challenges.
    • Contribute to an industrial research environment focused on humanoid robot intelligence.

    What you'll need#

    • Ongoing PhD in Robotics, Machine Learning, or a closely related field, or a recently completed Master's degree with exceptional research output.
    • Experience deploying learning-based controllers on real robotic hardware, or strong evidence of the ability to do so quickly.
    • Strong working knowledge of reinforcement learning, physics-based simulation (Isaac Gym/Lab, MuJoCo, or equivalent), Python, and PyTorch, including training neural networks at scale.
    • Proficiency in at least two of the following: Diffusion models, flow matching, dexterous manipulation, sim-to-real transfer and real-to-sim calibration, whole-body control and loco-manipulation, synthetic data generation, Vision Language Model Fine-Tuning, or Transformer-based 3D scene understanding.

    Location & details#

    • Location: San Francisco, California, United States.
    • Term: Summer 2026.
    • Modality: Full-time, on-site.
    • Compensation: Paid internship.
    Relevant fields:Computer ScienceMechanical EngineeringElectrical EngineeringBiomedical EngineeringData Science

    About Flexion Robotics

    Flexion Robotics is a Zurich-based engineering firm specializing in the development of autonomy software for humanoid robots. The company maintains a team of 11 to 50 employees and operates as a self-owned organization. Its technical focus includes command, control, manipulation, and locomotion systems powered by simulation and reinforcement learning. These software solutions are designed to enable robotic hardware to perform tasks with minimal human oversight.

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