Skip to content

Sensor Sim - ML Engineer

125k – 222kSunnyvale, CAOnsite5+ YOE
Summary

Develops and deploys generative ML techniques for production-grade sensor simulation (Lidar, Radar, Cameras) in autonomous systems. Collaborates with research, rendering, and physics teams; requires 5+ years ML experience, Bachelor's in CS, and expertise in large models and 3D geometry.

About the role

Responsibilities

  • 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.

Requirements

  • 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
  • Passion for turning domain expertise into tooling that boosts the productivity of teams working on various real-world applications of autonomous systems
  • 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

Compensation

  • Base salary range: $125,000 - $222,000 USD annually
  • Equity, comprehensive health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, paid time off
Skills
Machine LearningGenerative ModelsSensor SimulationLidarRadarCamera3D GeometryOptical FlowVideo GenerationAgentic SystemsRobotics SimulationSynthetic DataPyTorchTensorFlow
Similar roles at this salary range
All ML Engineering jobs →
Chime

AI/ML Engineer

Build and productionize ML models for risk detection and decisioning systems. Requires 1-2 years applied ML experience and familiarity with AWS, model evaluation, and experimentation.

125k – 173kSan Francisco, CAML EngineeringHybridAWSPython
PrizePicks

Machine Learning Platform Engineer

Build and operate the ML platform to productionize models, enable real-time inference, and manage the full ML lifecycle with MLOps best practices. Requires 3+ years platform engineering and 1+ years owning ML systems end-to-end.

135k – 160kUnited StatesML EngineeringRemoteGoKafka
Ai2

Senior Research Engineer

Research Engineer training and scaling flagship open multimodal and agentic models (Olmo, Molmo). Owns end-to-end ML infrastructure, model development, and open-source releases.

147k – 220kSeattle, WAML EngineeringOn-siteJAXMoE
Clickhouse

AI Product Engineer

Build agentic capabilities on a petabyte-scale observability platform. Own the full agent stack including context engineering, tool design, evals, and production reliability for incident investigation.

130k – 230kUnited StatesML EngineeringRemoteMCPSQL
Kodex

ML Engineer

Build and deploy production ML models and pipelines to detect suspicious activity, improve verification accuracy, and support threat intelligence workflows.

150k – 180kUnited StatesML EngineeringRemoteAWSClustering