Senior/Staff Machine Learning Engineer (Sensor Simulation)

Join our growing robotics team as a Senior/Staff Machine Learning Engineer specializing in sensor simulation. In this role, you will develop synthetic sensor simulation models and algorithms, analyze the realism and utility of synthetic sensor data, and collaborate with various teams on map needs and requirements. The ideal candidate has extensive experience in machine learning, robotics, and systems coding.

• Research, develop, and implement state-of-the-art synthetic sensor simulation methods and algorithms.
• Analyze and characterize the realism and utility of synthetic sensor data, and answer critical questions about sensor data and autonomy performance.
• Collaborate with stakeholders across autonomy, infrastructure, and systems teams on map needs and requirements.
• One of
• 5+ years of industry experience
• Masters and 4+ years of industry experience
• Deep understanding of ML fundamentals with hands-on experience in training and evaluating modern ML models
• PhD in machine learning, computer science, electrical engineering, robotics, or related field, and 3+ years of industry experience
• Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax
• Deep understanding of 3D geometry and state estimation fundamentals
• Proficiency in systems coding
• Experience in modern ML graphics techniques, e.g., NeRF, Gaussian Splatting, and/or generative models
• Experience in simulating/modeling real sensors (camera, lidar, radar, IMU, etc), including noise modeling
• Experience in building ML pipelines and optimizing/productizing ML models
• Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA)