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Mid LevelFull-timePythonC++Machine LearningTensorFlowPyTorchAIML
Salary Range
$179,000 - $245,000 /year
About the Role
The Perception Scene Understanding team at Zoox builds high-performance reasoning engines for autonomous vehicles. We translate sensor data into deep semantic understanding to enable human-level decision-making in real-time.
Key Responsibilities
- →Develop machine learning algorithms for Bird’s Eye View scene analysis and real-time hazard detection
- →Design and implement scene understanding solutions for Zoox's unique bidirectional vehicle
- →Lead the end-to-end data strategy including mining, auto-labeling, and dataset construction
- →Implement on-vehicle software for model inference and result post-processing
- →Use large-scale data pipelines to research, prototype, and deploy improvements
- →Collaborate with Perception, Prediction, and Planning teams
Requirements
- ✓BS, MS, or PhD in Computer Science, Robotics, or related field with 2+ years of industry experience
- ✓Experience with BEV models, segmentation, or 3D representations
- ✓Hands-on experience with the full ML lifecycle: dataset construction, training frameworks, and metrics pipelines
- ✓Strong mathematical foundation in linear algebra, calculus, and probability
- ✓Fluency in C++ and Python with experience in PyTorch, TensorFlow, or JAX
