Research Engineer (New Grad 2027)

Join Applied Intuition as a Research Engineer, where you'll work on cutting-edge technology for next-generation physical AI, focusing on autonomous driving and robotics. You'll collaborate with leading experts, access vast data resources, and contribute to impactful research publications. Enjoy comprehensive benefits, including health insurance, a fitness stipend, 401(k) match, and parental leave.

• Collaborate with the ADAS stack engineering team to test and deploy end-to-end algorithms for mass production vehicles.
• Conduct research on architecture design, robustness, safety, and language modality incorporation for the differentiable stack.
• Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences.

• We are looking for passionate early-career Research Engineers to join the Research Group at Applied Intuition
• MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely related field, graduating by December 2026 or Summer 2027
• World-action foundation model, video/Gaussian generation, diffusion policy, multi-modal robot learning
• Passion for next-generation, scalable autonomy and robotics for real-world systems
• Hands-on experience in at least one of the following fields:
• VLA post-training, reinforcement learning
• Strong engineering and research skills and the ability to work both independently and collaboratively on projects
• Physics-aware reconstruction, deformable simulation
• 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
• Passion for building and shipping customer-focused software frameworks or tools
• Industry experience on relevant topics (self-driving application preferred)