Research Scientist (Research)

Join Applied Intuition as a Research Scientist in the Research Group focused on cutting-edge technology for autonomous driving and robotics. You will conduct research on reinforcement learning, collaborate with other scientists and engineers, and contribute to the advancement of autonomy and robotics. Enjoy benefits such as health insurance, a fitness stipend, 401(k) match, a learning stipend, and parental leave.

• Conduct research on reinforcement learning (RL) related topics, including large-scale self-play RL, VLA post-training, and large-scale closed-loop RL based on neural simulation.
• Collaborate with other Research Scientists and interns on research publications for submission to top-tier conferences, and work closely with Research Engineers to test and deploy algorithms.
• Contribute to and learn from best practices in the autonomy and robotics industries, and help improve systems that deliver value to customers.
• We are open to all years of experience as long as the necessary requirements are met, including those with potential Tech Lead and Manager capacity
• MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely-related fields
• Strong research skills and the ability to work both independently and collaboratively on projects
• Passion for next-generation, scalable autonomy and robotics for real-world systems
• Strong research record in the fields of RL and VLA post-training for autonomous systems and robotics, with publications in top-tier conferences or journals in the fields of computer vision, machine learning, and robotics
• Technical experience in: Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training
• Self-play RL and imitation learning, behavior learning
• Large-scale closed-loop RL in driving simulation
• VLA post-training for autonomy or robotics
• Large-scale RL training infrastructure (Ray preferred)
• Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles