Research Scientist (Reinforcement Learning, Robotics)

Join Applied Intuition as a Research Scientist specializing in Reinforcement Learning and Robotics. Contribute to cutting-edge technology that enables next-generation physical AI, with a focus on autonomous driving and robotic generalist applications. Collaborate with leading experts in the field and access industry-leading tools and infrastructure. Enjoy a comprehensive benefits package, including health insurance, a fitness stipend, 401(k) match, learning stipend, parental leave, and catered meals.

• Conduct research on reinforcement learning (RL) related topics, including large-scale closed-loop RL and VLA post-training with applications to robotics.
• 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.
• MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely-related fields
• Strong research record in the fields of RL and VLA post-training for robotics and autonomous systems, 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
• 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
• Large-scale RL training infrastructure
• Large-scale closed-loop RL in robotic simulation
• VLA post-training for autonomy or robotics
• 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