Senior Machine Learning Engineer - Perception Localization

In this role, you will...

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Research, implement, and train ML models to perform vision based localization

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Curate datasets for model training and validation

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Closely collaborate with validation teams to formulate and execute model validation pipelines

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Integrate models into the greater onboard autonomy system within compute budgets

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Be a technical leader on the team, maintaining coding and ML development best practices and contributing to architectural decisions

Qualifications

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MS plus 7+ years in Computer Science or related field

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Experience in computer vision based pose estimation

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Experience with training and deploying deep learning models

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Experience with with Python libraries (pytorch, numpy)

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Experience with C++

Bonus Qualifications

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Experience with SLAM systems which incorporate ML models

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Experience in robotics or autonomous systems

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Experience with CUDA and/or GPU programming

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 [email protected] 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.