Research Engineer - New Grad (2027)

Responsibilities

• Collaborate with the ADAS stack engineering team to test and deploy end-to-end algorithms for mass-production vehicles.
• Collaborate with the simulation team to deploy data-driven generation algorithms for efficient, automated tools.
• Research architecture design, robustness, safety, and language-modality incorporation for the differentiable stack.
• Work with Research Scientists and interns on research publications for top-tier conferences.
• Translate academic research into shipped autonomy and robotics systems that improve customer programs.

Requirements

• MSc or PhD in machine learning, computer vision with autonomy and robotics applications, or a closely related field, graduating by December 2026 or Summer 2027.
• Hands-on experience in at least one relevant area, including world-action foundation models, video or Gaussian generation, diffusion policy, multimodal robot learning, VLA post-training, reinforcement learning, physics-aware reconstruction, or deformable simulation.
• Technical experience with Python, PyTorch, computer vision, robotics systems, and distributed machine learning model training.
• Strong engineering and research skills with the ability to work independently and collaboratively.
• Passion for scalable autonomy and robotics for real-world systems.
• Industry experience on relevant topics, particularly self-driving applications, is preferred.
• Experience building and shipping customer-focused software frameworks or tools is preferred.

Benefits

• Full-time employees primarily work from an Applied Intuition office five days per week, with occasional remote-work flexibility.
• Accessible and inclusive application and interview accommodations are available for applicants with disabilities and disabled veterans.