Research Intern - Reinforcement Learning, Self-Driving

Applied Industrial Technologies
Sunnyvale
Workplace: OnsiteInternshipFunction: Education & TrainingEducation: mastersSkills: ["Communication","Collaboration","Problem-solving","Critical thinking","Teamwork"]

Research Interns will contribute to cutting-edge reinforcement learning research for autonomous driving and robotic generalist systems, collaborating with a team of researchers and engineers. You will conduct RL experiments, study reward learning and imitation learning concepts, and help publish findings to top-tier conferences while working on scalable autonomy applications.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Applied Industrial Technologies
Applied Industrial Technologies
1 year ago

Research Intern - Reinforcement Learning, Self-Driving

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Research Interns will contribute to cutting-edge reinforcement learning research for autonomous driving and robotic generalist systems, collaborating with a team of researchers and engineers. You will conduct RL experiments, study reward learning and imitation learning concepts, and help publish findings to top-tier conferences while working on scalable autonomy applications.
Location: Sunnyvale
Workplace: Onsite
Employment Type: Internship
Job Function: Education & Training
Seniority: Intern level

Key Responsibilities

  • •Conduct research on reinforcement learning 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 the Research Scientists and Engineers on high quality research publications for submission to top-tier conferences.
  • •Collaborate with team members to translate research insights into methods applicable to autonomous driving and robotic systems.
  • •Contribute to project planning and communicate findings effectively to both technical and non-technical audiences.

Key Requirements

  • •Current PhD (or MSc) studies in machine learning, computer vision and graphics, robotics.
  • •Strong research background and skills on relevant topics, and the ability to work both independently and collaboratively on projects.
  • •Passion for next-generation, scalable autonomy and robotics.
  • •Ability to contribute to high quality research publications for submission to top-tier conferences.
  • •Demonstrated ability to work in a fast-paced research environment and communicate results clearly.
Experience:RoboticsAutonomous drivingAI research
Education:Master's
Skills:CommunicationCollaborationProblem-solvingCritical thinkingTeamwork
Tech Stack:Reinforcement learningMachine learningComputer visionGraphicsRobotics

Company Brief

Applied Industrial Technologies
Builds software tools for autonomous vehicle development, including simulation, validation, and data infrastructure for automakers and robotics teams. Also supports defense applications with autonomy-focused testing and deployment platforms.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Mountain View, United States
Founded: 2017
WebsiteLinkedIn