Salary :
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The Perception team at Zoox is fundamental to our autonomous vehicle technology, creating the understanding of the world for our self-driving robots. We enable safe and efficient navigation in complex environments through sophisticated detection, classification, and tracking systems.
As an engineer on the Localization team, you will be a key contributor to Zoox’s online pose estimation systems. This role focuses on improving the ML systems that utilize cameras for Localization. You will design, train, validate, and integrate computer vision models into the online software system. Your work will enable important milestones to scaling and autonomy capabilities and will be critical to the success of Zoox.
In this role, you will...
Research, implement, and train ML models to perform vision based localization
Curate datasets for model training and validation
Closely collaborate with validation teams to formulate and execute model validation pipelines
Integrate models into the greater onboard autonomy system within compute budgets
Be a technical leader on the team, maintaining coding and ML development best practices and contributing to architectural decisions
Qualifications
MS plus 7+ years in Computer Science or related field
Experience in computer vision based pose estimation
Experience with training and deploying deep learning models
Experience with with Python libraries (pytorch, numpy)
Experience with C++
Bonus Qualifications
Experience with SLAM systems which incorporate ML models
Experience in robotics or autonomous systems
Experience with CUDA and/or GPU programming
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