Sensor Sim - ML Engineer

Job Description

Develop and deploy generative and other machine learning techniques for production-grade sensor simulation, working with research teams to model environments and sensors such as lidar, radar, and cameras. Collaborate with rendering and physics-based modeling teams to create approaches that combine these techniques, prioritizing production value and customer impact.

Requirements: Requires a bachelor's degree in computer science, software engineering, or an equivalent field, plus at least five years of experience building software components or systems for real-world machine learning challenges. Candidates should have strong machine learning foundations and hands-on experience evaluating and optimizing large generative models and designing agentic systems; knowledge of 3D geometry, optical flow, or video generation is also relevant.

Key Skills: Machine Learning, Generative Models, Agentic System Design, Machine Learning Evaluation, Model Optimization, 3D Geometry, Optical Flow, Video Generation, Sensor Simulation, Lidar, Radar, Camera Modeling, Synthetic Data, Robotics Simulation, World Models

Benefits: Equity, Health Insurance, Dental Insurance, Vision Insurance, Life Insurance, Disability Insurance, 401(k) With Employer Match, Learning Stipend, Wellness Stipend, Paid Time Off