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Machine Learning Engineer - AutoML

AT Zoox
Zoox

Machine Learning Engineer - AutoML

Foster City, CA

Zoox is looking for machine learning and software engineers to help improve autonomous driving quality using large-scale distributed evaluation, optimization, and data analysis. In this role, you will leverage real-world driving data and metrics to tackle optimization problems, develop innovative solution techniques, and play a vital role in shaping the evolution of our AutoML platform and workflows. You will work cross-functionally with engineers in AI platforms, Simulation, and Data Science. Your work will make a direct and measurable impact on 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
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    Qualifications

  • 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


  • Bonus Qualifications

  • 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


  • Compensation

    There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $180,000 to $256,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.

    Zoox also offers a comprehensive package of benefits including 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, and life insurance.

    Client-provided location(s): Foster City, CA, USA
    Job ID: Zoox-5a9b0cae-801c-4f0b-bad3-23862b230a38
    Employment Type: Full Time