Zoox's Perception team needs to create the understanding of the world for their self-driving robots to enable safe and efficient navigation in complex environments through sophisticated detection, classification, and tracking systems. The Perception Mapping team specifically needs to develop ML models for online mapping to detect semantic map elements in the world.
Requirements
- Experience in computer vision or robotics
- Experience with training and deploying deep learning models
- Experience with with Python libraries (pytorch, numpy)
- Experience with C++
- Experience with CUDA and/or GPU programming
- Experience with mapping related ML techniques
Responsibilities
- design, train, validate, and integrate into the stack ML models that detect semantic map elements in the world
- touch on all aspects of ML development, including data gathering, labeling, training, validation, and onboard integration
- 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
Other
- MS or PhD or equivalent experience (5+ years) in Computer Science or related field
