Sensor Sim - ML Engineer

The role

You will drive research, development and deployment of generative and other machine learning techniques into a sensor simulator. You will work with research, rendering and physics-based modeling teams to model worlds and sensors such as Lidars, Radars and Cameras.

What you will do

• Drive research, development and deployment of generative and other machine learning techniques into our sensor simulator.
• Work closely with rendering and physics-based modeling teams to build novel approaches fusing the best of all techniques.
• Focus on projects with a clear path to production value and customer impact.

Required qualifications

• Bachelor's degree in Computer Science, Software Engineering, or equivalent
• 5+ years of experience building software components or (sub) systems that address real-world machine learning challenges
• Hands-on experience with evaluation and optimization for large generative models
• Hands-on experience with agentic system design
• Deep understanding of machine learning foundations who can apply various techniques to new problems
• Understanding of 3D geometry, optical flow or video generation

Nice to have

• Experience working with Generative World Models (Cosmos, UniSim, sora-style architectures)
• Experience with robotics simulation products (IssacSim, MuJoCo, Omniverse, USD)
• Experience with applying synthetic data to machine learning tasks
• Hands on experience with characterization of models for Lidar, Radar, and Camera

Benefits

• Base salary
• Equity in the form of options and/or restricted stock units
• Comprehensive health, dental, vision, life and disability insurance coverage
• 401k retirement benefits with employer match
• Learning and wellness stipends
• Paid time off

About the company

Applied Intuition, Inc. is a Silicon Valley company creating digital infrastructure for physical AI. It services the automotive, defense, trucking, construction, mining and agriculture industries.