Senior Machine Learning Engineer; Perception Mapping
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-06-17
Listing for:
Zoox
Full Time
position Listed on 2026-06-17
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Robotics
Job Description & How to Apply Below
Requirements
- 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) Experience with C++
- (Desirable) Experience with CUDA and/or GPU programming
- (Desirable) Experience with mapping related ML techniques
- 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
Position Requirements
10+ Years
work experience
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