Senior Machine Learning Engineer - Perception Mapping

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. In this role, you will:

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

Qualifications:

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)

Bonus Qualifications:

Experience with C++

Experience with CUDA and/or GPU programming

Experience with mapping related ML techniques