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.
