Zoox

Zoox is looking for machine learning and software engineers to help improve autonomous driving quality using large-scale distributed evaluation, optimization, and data analysis.. Experience with black-box optimization and its application to hyperparameter tuning. 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.. Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments.

machine learning engineer

<div>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<ul><li>Design large-scale optimization problems and analyze results using driving data</li><li>Lead complex, cross-functional projects</li><li>Design and implement features to improve optimization capabilities</li><li>Improve training data quality</li><li>Communicate your work to other teams at Zoox</li></ul>Qualifications<ul><li>BS/MS/PhD in Machine Learning, Computer Science or equivalent experience</li><li>Experience in scaling optimization systems in production (e.g. hyperparameter tuning)</li><li>4+ years of relevant experience </li><li>Fluency in Python</li><li>Experience with distributed systems</li><li>5+ years of relevant experience </li></ul>Bonus Qualifications<ul><li>Fluency in C++</li><li>Experience with black-box optimization and its application to hyperparameter tuning</li><li>Experience with multi-objective optimization</li><li>Experience with autonomous vehicles or robotics</li><li>Experience building large-scale software services on the cloud</li></ul>CompensationThere 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$221,000 to $319,000. 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.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.<a href="#">Follow us on LinkedIn</a>AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>
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