Applied Intuition is looking to build the AI Research Team to conduct world-class research for autonomous systems and closed-loop simulation to influence their autonomy stacks from prototype to mass production.
Requirements
- Experience with end-to-end autonomy, multi-view perception, 3D reconstruction, diffusion model for sensory generation, and/or closed-loop behavior generation
- Hands-on experience of imitation/reinforcement learning, behavior prediction, and closed-loop simulation
- Experience with training with large-scale data and ML models and/or applying language modality in AV stacks
Responsibilities
- Collaborate with our ADAS stack engineering team to test and deploy end-to-end algorithms for mass production vehicles
- Collaborate with our simulation team to deploy data-driven generation algorithms for highly efficient and automated tools
- Conduct research on architecture design, robustness, safety, and language modality incorporation for our differentiable stack
- Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences
Other
- We are looking for a passionate New Grad Research Engineer
- A passion for scalable, data-driven autonomy for real-world systems
- Strong research skills and the ability to work both independently and collaboratively on projects
- Passion for building and shipping customer-focused software frameworks or tools
- We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week.
