Machine Learning Engineer - 3D Vision Perception

The Perception team is responsible for fusing sensor data from multiple modalities and producing relevant representations for difficult and unstructured obstacles around the vehicle. We’re looking for someone with deep machine learning experience that can help with all stages of the model development lifecycle, including training, evaluation, and deployment.

• Design, develop, train and evaluate multi-sensor fusion based deep learning models to understand obstacles and environmental context

• Understand and curate real and synthetic datasets to improve our models

• Perform latency optimization and deploy models to our robot fleet

• Build a deep understanding of Perception gaps and behavioral issues around difficult obstacle types in order to help plan and prioritize our work

• Collaborate with Prediction/Planner team to deploy fully autonomous vehicles in environments with difficult and rare obstacles, extreme weather conditions, and complex driving scenarios

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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Accommodations

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.