Research Scientist (3D Vision and Generation, Self-Driving)

Join Applied Intuition as a Research Scientist in 3D Vision and Generation, focusing on self-driving technology. Collaborate with leading experts in the field and contribute to cutting-edge research that will shape the future of autonomous driving and robotics. Enjoy a range of benefits, including health insurance, a fitness stipend, 401(k) match, and a learning stipend.

• Conduct research on 3D vision related topics, including 3D/world-action foundation models and multi-modal pretraining.
• Collaborate with other Research Scientists and engineers to test and deploy algorithms to autonomy and simulation products.
• Contribute to and learn from best practices in the autonomy and robotics industries within a fast-paced and customer-focused culture.
• Technical experience in: Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training
• Strong research record in the fields of 3D vision, reconstruction and generation for autonomous systems and robotics, with publications in top-tier conferences or journals in the fields of computer vision, machine learning, and robotics
• 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
• Passion for next-generation, scalable autonomy and robotics for real-world systems
• 3D foundation model and pretraining
• World foundation model and generation
• 3D/multi-view end-to-end models for autonomous driving or robotics
• Multi-modal foundation model
• 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
• Hands-on experience in at least one of the following fields:
• Feed-forward Gaussian splatting and reconstruction