Applied

Research Engineer - Robot Learning

Sunnyvale. Posted 15 months ago

The role

Research Engineers will create technology for next-generation physical AI, focusing on end-to-end autonomous driving and robotic generalists. You will support robotic hardware setup, construct simulation environments, and collaborate on research publications and algorithm deployment.

What you will do

  • Support the team robotic and data collection hardware set up
  • Design the mechatronic system for customized demands
  • Construct robotic simulation environments at scale for RL training
  • Process human data for robotic use cases
  • Work with Research Scientists and interns on high-quality research publications
  • Collaborate with engineering teams to deploy end-to-end algorithms for mass production vehicles
  • Collaborate on neural simulation/generation for tools supporting autonomy development

Required qualifications

  • Hands-on experience in at least one of the following: World-action foundation model, video/Gaussian generation, diffusion policy, multi-modal robot learning, VLA post-training, reinforcement learning,
  • Strong engineering and research skills
  • Ability to work both independently and collaboratively on projects
  • Technical experience in Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training
  • Masters or PhD in machine learning and computer vision with autonomy and robotics applications or closely related field
  • 1+ year of experience in autonomy and robotics applications or closely related field

Nice to have

  • Passion for building and shipping customer-focused software frameworks or tools

Benefits

  • Base salary
  • Equity in the form of options and/or restricted stock units
  • Comprehensive health, dental, vision, life and disability insurance coverage
  • 401k retirement benefits with employer match
  • Learning and wellness stipends
  • Paid time off

About the company

Applied Intuition, Inc. is a Silicon Valley company creating digital infrastructure for physical AI. It services the automotive, defense, trucking, construction, mining and agriculture industries.