Machine Learning Engineer - Semantic Reasoning (Highway)
Zoox
| Company | Zoox |
| Category | Engineering |
| Location | Foster City |
| Remote | Hybrid |
| Employment | Full-time |
| Level | Not stated |
| Salary | USD 189k–258k |
| Posted | 29 May 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (lever) |
Description
The Scene Understanding Semantic Reasoning team at Zoox builds the high-performance reasoning engines that allow our autonomous vehicles to navigate complex driving environments and high-speed roads. We translate sensor data and detected objects into deep semantic understanding, ensuring our robots make human-level decisions in real-time.
We are seeking experienced engineers passionate about the intersection of robotics and cutting-edge AI. In this role, you will focus on critical initiatives alongside partner Perception and motion planning teams to develop production-grade multi-task transformers, and integrate cutting-edge Vision Language Action (VLA) model outputs to build comprehensive spatial representations for our fleet. You will tackle the inherent unpredictability of urban driving on highways & freeways to improve range and accuracy, ensuring our vehicles remain safe and resilient at all times.
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