Research Intern - Reinforcement Learning, Self-Driving

1 month, 2 weeks ago
Internship
Entry Level
Software Development
Applied Intuition

Applied Intuition

Vehicle software supplier | Applied Intuition Simulation and validation platform for automotive, trucking, construction, and more. Solutions to safely develop, test, and deploy autonomous systems at scale #PoweringAutonomy Industry leading platform tha...

Internet Software & Services
251-1K
Founded 2017
$352M raised

Description

  • Conduct research on reinforcement learning topics, including large-scale self-play RL, VLA post-training, and closed-loop RL using neural simulation for autonomous driving.
  • Explore fundamental reinforcement learning methods and related areas such as imitative behavior learning and reward learning.
  • Collaborate with Research Scientists and Engineers to produce high-quality research publications for top-tier conferences.
  • Apply research contributions to autonomous and robotic systems across self-driving vehicles, mining and construction machines, humanoid robots, and dexterous hands.
  • Work within a fast-paced, customer-focused research environment and learn best practices from the autonomy and robotics industries.

Requirements

  • Current PhD or MSc studies in machine learning, computer vision and graphics, or robotics.
  • Strong research background in relevant topics.
  • Ability to work independently and collaboratively on projects.
  • Passion for next-generation, scalable autonomy and robotics.
  • Interest in reinforcement learning and adjacent research areas such as reward learning and imitative behavior learning.
  • Experience or familiarity with research publication workflows for top-tier conferences (preferred).

Benefits

  • Flexible schedule with occasional remote work, while primarily working in-office 5 days a week.
  • Opportunity to work with leading experts and access industry-leading tools and infrastructure.
  • Access to millions of miles of data from large fleets.
  • Opportunity to deploy research into real autonomous and robotic systems with immediate customer impact.

Interested in this position?

Apply directly on the company website

Apply Now

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