Research Engineer New Grad 2027
Applied Intuition is a physical-AI company that provides software platforms for developing, validating, deploying, and operating intelligent vehicles and machines.
About Applied Intuition
Founded in 2017, Applied Intuition builds physical-AI tooling and infrastructure, a Vehicle OS, and a Self-Driving System for automotive, defense, trucking, construction, mining, agriculture, and robotics applications.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will test and deploy end-to-end algorithms for production vehicles and data-driven generation algorithms for simulation tools. You will research architecture, robustness, safety, and language modalities for differentiable systems, and collaborate on high-quality research publications.
Requirements
- MSc or PhD in machine learning and computer vision with autonomy and robotics applications or a closely related field
- Graduation by December 2026 or Summer 2027
- Hands-on experience in at least one relevant research field, including foundation models, video or Gaussian generation, diffusion policy, multimodal robot learning, VLA post-training, reinforcement learning, physics-aware reconstruction, or deformable simulation
- Strong engineering and research skills
- Python, PyTorch, computer vision, robotics systems, and distributed machine-learning training experience
- At least 1 year of experience in any field or an equivalent combination of education and experience
Responsibilities
- Test and deploy end-to-end algorithms for mass-production vehicles
- Deploy data-driven generation algorithms for automated simulation tools
- Research architecture design, robustness, safety, and language modality incorporation for differentiable systems
- Collaborate with research scientists and interns on publications for top-tier conferences
Benefits
- Equity