Research Scientist - Reinforcement Learning, Self-Driving

Posted

Applied IntuitionSunnyvale, California, United Statesfull-timelead

$126,000 USD

Tech Stack

Responsibilities

  • Conduct research on reinforcement learning (RL) related topics including large-scale self-play RL, VLA post-training, large-scale closed-loop RL based on neural simulation with applications to autonomous driving.
  • Diving into fundamental topics on RL with broader applications and potential imitative behavior learning incorporation, and relevant topics such as reward learning.
  • Work closely with other Research Scientists and interns on research publications for submission to top-tier conferences.
  • Collaborate with Research Engineers and engineering teams to test and deploy algorithms to our autonomy and robotics products.

Benefits

  • 401k
  • Equity
  • Gym Membership
  • Health Insurance
  • Learning Budget
  • Remote Work

Culture

Hybrid WorkFast-PacedCustomer-ObsessedCollaborative SpaceInclusive Hiring

Requirements

Required: MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely-related fields
Regions: Us

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About Applied Intuition
Industry: automotive
Size: large

Applied Intuition is a Silicon Valley company powering the future of physical AI, providing digital infrastructure for autonomous systems across various industries. They are a Tier 1 vehicle software supplier specializing in ADAS/AD product toolchains and vehicle platforms.

View company profile →
Compensation
Base salary: $126,000 USD
Equity: equity in the form of options and/or restricted stock units