RL Research Engineer, Self-Driving Autonomy & Robotics

Applied Intuition Inc.

Sunnyvale (CA)

Hybrid

USD 126,000 - 423,000

Full time

14 days+

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Job summary

Applied Intuition, a leader in autonomous systems, is seeking multiple Research Engineers to advance physical AI in our Research Group. You will push the frontiers of reinforcement learning for end-to-end autonomy and collaborate with world-class researchers to publish results.

You will work with engineering teams on ADAS, data, and simulation to deploy scalable RL methods for mass production vehicles and robotics platforms, contributing to real-world deployments and impactful research.

Qualifications

  • Experience in self‑play RL and imitation learning.
  • Experience with large‑scale RL training infrastructure.
  • Passion for scalable autonomy and robotics.
  • Strong engineering and research skills; capable of independent and collaborative work.

Responsibilities

  • Conduct RL research and develop training infrastructure.
  • Publish high‑quality research with scientists/interns.
  • Collaborate with ADAS, data, and simulation teams to deploy algorithms.

Skills

Reinforcement learning
Python
PyTorch
Computer vision
Robotics

Education

MSc or PhD in ML/Computer Vision or related field

Tools

Ray

Job description

Applied Intuition, a leader in autonomous systems, is seeking multiple Research Engineers to advance physical AI in our Research Group. You will push the frontiers of reinforcement learning for end-to-end autonomy and collaborate with world-class researchers to publish results.

You will work with engineering teams on ADAS, data, and simulation to deploy scalable RL methods for mass production vehicles and robotics platforms, contributing to real-world deployments and impactful research.

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