Machine Learning Engineer - Semantic Reasoning (Highway)

📋 Description

• Build semantic reasoning for autonomous vehicles in highway contexts.
• Develop production-grade multi-task transformers for perception.
• Integrate Vision Language Action model outputs for spatial representations.
• Optimize models for real-time inference on resource-constrained vehicle hardware.
• Address edge cases and ensure safety in high-speed driving.
• Contribute to long-term Perception Semantic Reasoning architecture.

🎯 Requirements

• MS (3–5 yrs) or PhD (0–2 yrs) in CS, Robotics, EE, or related field.
• Deep understanding of 2D/3D vision, semantic segmentation, and DL architectures.
• Proficient in modern C++ and Python.
• Hands-on experience with JAX or PyTorch.
• Proven track record deploying real-time ML on embedded systems.
• Familiar with BEV, sparse transformers, and Vision-Language Models.

🎁 Benefits

• Comprehensive benefits package (health, vision, dental, life, disability).
• Paid time off, sick leave, and parental leave.
• Zoox RSUs and stock appreciation rights.
• Accommodations available for applicants.