RL Research Intern: Autonomy & Robotic Systems

The Robot Age; Sunnyvale (CA); Hybrid; USD 34,000 - 55,000; Full time

Job summary

Applied Intuition’s research group invites you to join as an internship focused on reinforcement learning for autonomy. You will work on RL for large-scale autonomous systems, including self-play and neural-simulation based closed-loop RL, with potential to transfer to deployed programs.

You will collaborate with research scientists and engineers, use our data and infrastructure to connect experiments to real-world autonomy tasks, and contribute to publishable work while pursuing graduate

Qualifications

• Current graduate study in machine learning, computer vision, graphics, robotics, or a related field.
• A strong research background in reinforcement learning or adjacent autonomy topics.
• Ability to work independently and collaboratively on research projects.

Responsibilities

• Run research on reinforcement-learning topics for large-scale autonomy systems.
• Explore self-play RL, neural-simulation-based closed-loop RL, reward learning, and behavior learning.
• Collaborate with research scientists and engineers on publishable work.
• Use Applied's data and infrastructure to connect research experiments to deployed autonomy programs.

Skills

Reinforcement learning

Autonomy systems

Independent & collaborative work

Education

Graduate study in ML/Robotics

Tools

Python

PyTorch

TensorFlow

Job description

Applied Intuition’s research group invites you to join as an internship focused on reinforcement learning for autonomy. You will work on RL for large-scale autonomous systems, including self-play and neural-simulation based closed-loop RL, with potential to transfer to deployed programs.

You will collaborate with research scientists and engineers, use our data and infrastructure to connect experiments to real-world autonomy tasks, and contribute to publishable work while pursuing graduate