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    Machine Learning Systems Engineer - San Mateo, CA, United States - Zoox

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    Description

    The Collision Avoidance System (CAS) is responsible for detecting and reacting to imminent collision situations in support of our vehicle's overall safety goals.

    CAS Perception is responsible for processing raw sensor data from our vehicle's world-class sensor suite using a combination of geometric, interpretable algorithms and deep learning to detect near-collisions with obstacles along our intended driving path, in the most challenging dense urban environments and under tight compute resource constraints.

    You will develop new algorithms that consume raw sensor data input to detect dynamic entities in the world
    You will leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field
    You will engineer software that runs on-vehicle to efficiently execute our algorithms in real time
    You will collaborate with engineers on the other parts of CAS Perception, CAS Verification & Validation, CAS Planner, and the Main AI teams to solve the overall Autonomous Driving problem in complex urban environments

    BS, MS, or PhD degree in computer science or related field
    Experience with training and deploying Deep Learning models
    Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
    Fluency in C++
    Conference or Journal publications in Machine Learning or Robotics related venues
    Fluency in Python

    There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights.

    A sign-on bonus may be part of a compensation package. 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.

    Follow us on LinkedIn

    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.

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