Applied Intuition is looking for a Research Scientist to conduct world-class research for autonomous systems with applications to autonomous driving and general robotics, aiming to develop cutting-edge models at scale and improve their autonomy and ADAS products.
Requirements
- Strong research record in the fields of AI and autonomous systems with publications in top-tier conferences or journals in the fields of computer vision, machine learning, and robotics
- End-to-end/differentiable autonomy stack
- Reinforcement learning
- Multi-modal foundation models
- Multi-view perception
- ML-based prediction and planning
Responsibilities
- Conduct research on topics including: end-to-end autonomy, vision-language-action model, reinforcement learning
- 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 ADAS products
Other
- We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week.
- Passion for next-generation, scalable autonomy for real-world autonomous systems
- Strong research skills and the ability to work both independently and collaboratively on projects
- MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely-related fields
- 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.
