Research Internship - United States

Flexion RoboticsSan Francisco, CA
Onsite

About The Position

Flexion is building the intelligence layer for the next generation of humanoid robots, aiming to accelerate the transition from prototypes to real-world deployment. Founded by leading scientists in robot reinforcement learning, Flexion has rapidly progressed from its first line of code to deploying real humanoid capabilities. The company is expanding its team by establishing a US research hub in San Francisco, complementing its existing headquarters in Zurich where fifty top robotics researchers are already working. This role is for ambitious early-career robotics researchers who are driven to push the boundaries of current robotic capabilities.

Requirements

  • Ongoing PhD in Robotics, Machine Learning, or a closely related field, or a recently completed Master's degree with exceptional research output.
  • Demonstrated experience deploying learning-based controllers on real robotic hardware, or strong research signal that you can do so quickly.
  • Strong working knowledge in Reinforcement learning.
  • Strong working knowledge in Physics-based simulation (Isaac Gym/Lab, MuJoCo, or equivalent).
  • Strong working knowledge in Python and PyTorch, including training neural networks at scale.
  • Knowledge 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 for robot learning, Vision Language Model Fine-Tuning (SFT and RL-based), Transformer-based 3D Scene Understanding.

Responsibilities

  • Take on research problems that matter most.
  • Deploy real solutions on real hardware.
  • Work directly with a world-class team across two continents on challenging research problems.
  • Conduct high-impact work in a fast-moving industrial research environment.
  • Potentially transition to a full-time Research Scientist role following the internship.

Benefits

  • Competitive compensation package
  • A front-row seat at one of the world’s most ambitious robotics companies
  • An energetic, collaborative team with a relentless bias for action
  • The opportunity to build something no one has ever done in this field - alongside the world’s leading researchers
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