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Senior / Staff Machine Learning Engineer - Perception Mapping
Zoox
Zooxzoox.com
Senior / Staff Machine Learning Engineer - Perception Mapping
Posted 7 months ago
This job is still taking applications, but it's been up a while.
About the job
Zoox develops autonomous vehicle technology, focusing on perception mapping. As a Senior ML Engineer, you'll create ML models for semantic map detection, data handling, validation, and onboard integration to support autonomous driving.
Requirements
- Experience in computer vision or robotics
- Training and deploying deep learning models
- Experience with Python libraries (PyTorch, Numpy)
- MS or PhD in CS or related field
- 5+ years of relevant experience
Qualifications
- MS or PhD or equivalent experience
- Experience with computer vision
- Deep learning model experience
- Python library proficiency
Full job description
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
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