Research Scientist (World-Action Foundation Model, Robotics)

Join Applied Intuition as a Research Scientist in the Research Group focused on creating cutting-edge technology for next-generation physical AI. You will conduct research on pretraining world-action foundation models, collaborate with other researchers and engineering teams, and contribute to the advancement of autonomy and robotics. A Master's or PhD in machine learning and computer vision is required, along with at least one year of research experience in autonomy, self-driving, robotics, or a related field.

• Conduct research on pretraining world-action foundation model with various world modalities including vision and physics associated with ego actions.
• Dive into relevant topics such as vision-physics modality association, feed-forward Gaussian splatting, world foundation model, human data incorporation, language modality, and spatial reasoning.
• Collaborate with Research Engineers and engineering teams to test and deploy algorithms to our autonomy and simulation products.

• 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
• Passion for next-generation, scalable autonomy and robotics for real-world systems
• 1+ year of research experience in autonomy, self-driving, robotics, or related field
• Strong research record in the fields of 3D vision, reconstruction and generation for robotics and autonomous systems, 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
• Technical experience in: Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training
• 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:
• 3D foundation model and pretraining
• Multi-modal foundation model
• World foundation model and generation
• Feed-forward Gaussian splatting and reconstruction
• Human data processing and incorporation
• 3D/multi-view end-to-end models for autonomous driving or robotics