Applied Intuition
Research Engineer - New Grad (2027)
$140K–$200K
Sunnyvale · On-site · Entry level · Full-time · Posted Aug 14, 2026
- Experience
- 1+ year in any field, or equivalent combination of education and experience.
- Education
- 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.
About the job
Conduct research and develop, test, and deploy machine-learning algorithms for autonomous driving, robotics, and simulation systems.
What you'll do
- Collaborate with ADAS engineering to test and deploy end-to-end algorithms for production vehicles.
- Work with the simulation team to deploy data-driven generation algorithms for automated tools.
- Research differentiable-stack architecture, robustness, safety, and language modalities; collaborate on research publications.
What they ask for
- Hands-on experience in at least one listed area: world-action foundation models, video/Gaussian generation, diffusion policy, multimodal robot learning, VLA post-training, reinforcement learning, physics-aware reconstruction, or deformable simulation.
- MSc or PhD in machine learning and computer vision with autonomy and robotics applications, or a closely related field; graduating by December 2026 or Summer 2027.
- Technical experience in Python, Pytorch, computer vision, robotics systems, and distributed machine-learning model training.
- Strong engineering and research skills, and ability to work independently and collaboratively.
Nice to have
- Industry experience in relevant topics, preferably self-driving.
- Interest in building and shipping customer-focused software frameworks or tools.
Pay
$140K – $200K USD base salary
Tools
Python, Pytorch
AI focus
Research and deployment of physical AI for autonomous driving and robotics, including generative models, robot learning, reinforcement learning, and differentiable autonomy systems.
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