Senior/Staff Machine Learning Engineer, Sensor Simulation

Responsibilities

• Research, develop, and implement state-of-the-art synthetic sensor simulation methods
• Analyze and characterize the realism and utility of synthetic sensor data
• Answer critical questions about sensor data and autonomy performance
• Collaborate with stakeholders across autonomy, infrastructure, and systems teams on map needs and requirements

Requirements

• One of the following:
  • PhD in machine learning, computer science, electrical engineering, robotics, or related field, and 3+ years of industry experience
  • Masters and 4+ years of industry experience
  • 5+ years of industry experience
• Deep understanding of ML fundamentals with hands-on experience in training and evaluating modern ML models
• Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax

Nice-to-Haves

• Deep understanding of 3D geometry and state estimation fundamentals
• Proficiency in systems coding
• Experience in simulating/modeling real sensors (camera, lidar, radar, IMU, etc), including noise modeling
• Experience in modern ML graphics techniques, e.g., NeRF, Gaussian Splatting, and/or generative models
• 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)

Compensation

• Base pay range: $193930 - $291150 (depends on experience, qualifications, education, location, and skills)
• Eligible for annual performance bonus, equity, and competitive benefits package