Research Scientist - Reinforcement Learning, Robotics

Applied Intuition Applied Intuition · Robotics · Sunnyvale, CA · AI Research

Research Scientist role focused on Reinforcement Learning (RL) and Vision-Language Model (VLA) post-training for robotics and autonomous systems, with an emphasis on dexterous manipulation. The role involves conducting research, publishing in top-tier conferences, and collaborating with engineering teams to deploy algorithms. Requires a strong research record in RL and VLA for robotics, with a relevant MSc or PhD.

What you'd actually do

  1. Conduct research on reinforcement learning (RL) related topics including large-scale closed-loop RL and VLA post-training with applications to robotics with emphasis on dexterous manipulation
  2. Diving into fundamental and relevant topics on RL with broader applications
  3. Work closely with other Research Scientists and interns on research publications for submission to top-tier conferences
  4. Collaborate with Research Engineers and engineering teams to test and deploy algorithms to our autonomy and robotics products

Skills

Required

  • Python
  • Pytorch
  • computer vision
  • robotics systems
  • distributed machine learning model training

Nice to have

  • VLA post-training for autonomy or robotics
  • Large-scale closed-loop RL in robotic simulation
  • Large-scale RL training infrastructure

What the JD emphasized

  • publications in top-tier conferences or journals in the fields of computer vision, machine learning, and robotics
  • MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely-related fields
  • Technical experience in: Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training

Other signals

  • reinforcement learning
  • robotics
  • autonomous systems
  • research publications