Zoox is looking to develop a full-stack autonomous mobility solution for cities and safely deploy a robotaxi service by improving automated testing and validation processes using machine learning.
Requirements
- Expertise in machine learning concepts, including model training, evaluation, and optimization.
- Strong programming skills in Python and experience with relevant machine learning libraries (e.g., PyTorch, TensorFlow, Jax).
- Experience with large-scale data processing and distributed computing.
- Domain knowledge: Experience in robotics, autonomous vehicles, or a related field.
- Familiarity with encoder-decoder or foundation models for prediction and planning.
- Experience with test scripting and data analysis languages like SQL.
- Experience with techniques for machine learning model interpretability and explainability.
Responsibilities
- Lead Technical Initiatives: Apply modern machine learning to critical validation problems at the intersection of ML and data science.
- Improve Model Interpretability: Pioneer methods to understand the internal workings of machine learning models.
- Improve Feature Representation: Extend and refine features and embedding space used by models to better identify and cluster interesting driving scenarios.
- Integrate AV Performance Data: Incorporate metrics and information on autonomous vehicle performance into the model.
- Optimize with Data Science: Apply data science expertise to optimize models and sampling methodologies.
- Collaborate Cross-Functionally: Work closely with system safety, data science, software, and fleet operations teams.
- Apply cutting-edge machine learning to develop and enhance validation processes.
Other
- A PhD in a relevant field and/or 5+ years of experience working with machine learning models and data science methodologies.
- Proven ability to drive progress independently, lead technical projects, and apply critical thinking to solve practical problems.
- Excellent communication skills and the ability to work effectively with cross-functional teams.
- Ability to work in an industry setting.
- Paid time off (e.g. sick leave, vacation, bereavement) and unpaid time off.
