Zoox - Foster City, CA

posted about 1 month ago

Full-time - Mid Level
Foster City, CA
Administrative and Support Services

About the position

Zoox is seeking machine learning and software engineers to enhance the quality of autonomous driving through large-scale distributed evaluation, optimization, and data analysis. This role involves leveraging real-world driving data to address optimization challenges, develop innovative solutions, and contribute significantly to the evolution of the AutoML platform and workflows. The position requires collaboration with cross-functional teams, including AI platforms, Simulation, and Data Science, to directly impact vehicle driving behaviors.

Responsibilities

  • Design large-scale optimization problems and analyze results using driving data
  • Lead complex, cross-functional projects
  • Design and implement features to improve optimization capabilities
  • Improve training data quality
  • Communicate your work to other teams at Zoox

Requirements

  • BS/MS/PhD in Machine Learning, Computer Science or equivalent experience
  • Experience in scaling optimization systems in production (e.g. hyperparameter tuning)
  • 4+ years of relevant experience
  • Fluency in Python
  • Experience with distributed systems
  • 5+ years of relevant experience

Nice-to-haves

  • Fluency in C++
  • Experience with black-box optimization and its application to hyperparameter tuning
  • Experience with multi-objective optimization
  • Experience with autonomous vehicles or robotics
  • Experience building large-scale software services on the cloud

Benefits

  • Paid time off (e.g. sick leave, vacation, bereavement)
  • Unpaid time off
  • Zoox Stock Appreciation Rights
  • Amazon RSUs
  • Health insurance
  • Long-term care insurance
  • Long-term and short-term disability insurance
  • Life insurance
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