Machine Learning Engineer - AutoML

1 Month ago • 4 Years +

About the job

4 skills required for this role

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automl

python

data-science

cross-functional

Job Description

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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

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

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.

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