Machine Learning Engineer - Scene Understanding

📋 Description

• Develop ML algorithms for BEV scene analysis and real-time hazard detection.
• Design and implement scene understanding for Zoox's bidirectional vehicle.
• Lead end-to-end data strategy: mining, auto-labeling, dataset construction.
• Implement on-vehicle software for model inference and real-time post-processing.
• Leverage data pipelines to research, prototype, and deploy ML changes for complex scenes.
• Collaborate with Localization, Perception, Prediction, and Planning teams to integrate signals.

🎯 Requirements

• BS, MS, or PhD in CS/Robotics or related field with 2+ years ML experience.
• Experience with BEV models, segmentation, or 3D representations.
• Hands-on with data lifecycle: dataset construction, training, metrics pipelines.
• Strong math in linear algebra, calculus, probability.
• Fluency in C++ and Python. Experience with PyTorch, TensorFlow, JAX.

🎁 Benefits

• Base salary range: 179,000 - 245,000 USD per year
• Amazon RSUs and Zoox Stock Appreciation Rights
• Sign-on bonus may be offered
• Health insurance, disability, life insurance, PTO