Machine Learning Engineer - AutoML

$180,000 - $256,000/Yr

Zoox - Foster City, CA

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