Research Scientist - Reinforcement Learning, Robotics

Applied Industrial Technologies
Sunnyvale
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Python","PyTorch","Computer vision","Robotics systems","Distributed machine learning model training"]

We are seeking Research Scientists to join the AI Research group to advance reinforcement learning and robotics for autonomous driving and robotic generalist systems. You will conduct large-scale RL research, publish at top conferences, and collaborate with engineers to test and deploy algorithms across autonomy products, leveraging Python, PyTorch, computer vision, robotics systems, and distributed machine learning training.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Applied Industrial Technologies
Applied Industrial Technologies
1 year ago

Research Scientist - Reinforcement Learning, Robotics

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

We are seeking Research Scientists to join the AI Research group to advance reinforcement learning and robotics for autonomous driving and robotic generalist systems. You will conduct large-scale RL research, publish at top conferences, and collaborate with engineers to test and deploy algorithms across autonomy products, leveraging Python, PyTorch, computer vision, robotics systems, and distributed machine learning training.
Location: Sunnyvale
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Conduct research on reinforcement learning (RL) topics including large-scale closed-loop RL and VLA post-training with applications to robotics
  • •Diving into fundamental and relevant topics on RL with broader applications
  • •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
  • •Contribute to and learn from best practices in the autonomy and robotics industries within a fast-paced, customer-focused culture

Key Requirements

  • •Strong research record in reinforcement learning (RL) and VLA post-training for robotics and autonomous systems, with publications in top-tier conferences or journals in computer vision, machine learning, and robotics
  • •MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely-related fields
  • •Passion for next-generation, scalable autonomy and robotics for real-world systems
  • •Strong research skills and the ability to work both independently and collaboratively on projects
  • •Technical experience in: Python, PyTorch, computer vision, robotics systems, and distributed machine learning model training
Experience:RoboticsAutonomyMachine learningReinforcement learningComputer vision
Education:Master's in Machine Learning and Computer Vision
Skills:PythonPyTorchComputer visionRobotics systemsDistributed machine learning model training
Tech Stack:PythonPyTorchComputer visionRobotics systemsDistributed machine learning

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