Machine Learning Engineer - Semantic Reasoning (Highway) [Filled July 10, 2026]
Job 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.
Required Skills
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Frequently asked questions
Is the Machine Learning Engineer - Semantic Reasoning (Highway) [Filled July 10, 2026] position at Zoox remote?
The Machine Learning Engineer - Semantic Reasoning (Highway) [Filled July 10, 2026] role at Zoox is an on-site or hybrid position.
What type of employment is the Machine Learning Engineer - Semantic Reasoning (Highway) [Filled July 10, 2026] role?
Zoox is hiring for a full-time Machine Learning Engineer - Semantic Reasoning (Highway) [Filled July 10, 2026] position.
What skills are needed for the Machine Learning Engineer - Semantic Reasoning (Highway) [Filled July 10, 2026] job at Zoox?
Key skills for this role include Transformers.
How do I apply for the Machine Learning Engineer - Semantic Reasoning (Highway) [Filled July 10, 2026] position at Zoox?
You can apply for the Machine Learning Engineer - Semantic Reasoning (Highway) [Filled July 10, 2026] role directly through Zoox's official application link provided on this page.
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