Machine Learning Engineer, Zoox

• MS or PhD or equivalent experience (5+ years) in Computer Science or related field
• Experience in computer vision or robotics
• Experience with training and deploying deep learning models
• Experience with with Python libraries (pytorch, numpy)

Desirable

• 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 a software engineer on the perception mapping team, you will be a key contributor to Zoox’s online mapping initiative
• You will design, train, validate, and integrate into the stack ML models that detect semantic map elements in the world
• Your work will touch on all aspects of ML development, including data gathering, labeling, training, validation, and onboard integration
• Your work will enable important milestones to scaling and autonomy capabilities and will be critical to the success of Zoox
• Curate, validate, and label datasets for model training and validation
• Research, implement, and train ML models to perform semantic map element detection
• 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