Sensor Simulation Machine Learning Engineer
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 research, develop, and deploy generative and other machine learning techniques in a sensor simulator. You will work with research, rendering, and physics-based modeling teams to build approaches for modeling worlds and sensors, including lidar, radar, and cameras. You will focus on work that delivers production value and customer impact.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or equivalent
- 5+ years of experience building software components or systems for real-world machine learning challenges
- Evaluation and optimization of large generative models
- Agentic system design
- Machine learning foundations
- 3D geometry, optical flow, or video generation
Responsibilities
- Drive research, development, and deployment of generative and machine learning techniques in sensor simulation
- Work with rendering and physics-based modeling teams to build combined approaches
- Develop production-focused projects with customer impact
Benefits
- Equity
- Health insurance
- Dental insurance
- Vision insurance
- Life insurance
- Disability insurance
- 401k retirement plan with employer match
- Learning stipend
- Wellness stipend
- Paid time off