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Software Engineer - Prediction & Behavior ML

Zoox is looking for software engineers to help us build novel architectures for classifying and understanding the complex and dynamic environments in our cities. In this role, you will have access to the best sensor data in the world and an incredible infrastructure for testing, validating, and deploying your algorithms.


Our Prediction team’s role is to provide a probabilistic representation of the future state of the world; in particular, understanding what other vehicles, pedestrians, and cyclists will do next.  We leverage both high quality sensor data and high level semantic information to produce data-driven models of the future.  This representation is tightly integrated into our planning software to deliver a safe and smooth customer experience.


Qualifications
  • BS, MS, or PhD degree in computer science or related field
  • Fluency in C/C++
  • Experience with production ML pipelines: dataset creation, labeling, training, metrics
  • Experience with computer vision or machine learning techniques
  • Experience with autonomous robots/robotics


Qualifications
  • 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++ or Fluency in Python with a basic understanding of C++
  • Extensive experience with programming and algorithm design-Strong mathematics skills


Bonus Qualifications
  • Extensive experience with programming and algorithm design
  • Ability to create functional real-time systems that solve difficult prediction tasks
  • Experience handling large data sets efficiently
  • Strong mathematical skills and understanding of probabilistic techniques
  • Experience with designing large scale scalable software architectures
  • Understanding of modern ML techniques


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 $144,000 to $234,000. 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 Zoox

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. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.


Follow us on LinkedIn


Accommodations

If 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.

Average salary estimate

$189000 / YEARLY (est.)
min
max
$144000K
$234000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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Zoox was founded to make personal transportation safer, cleaner, and more enjoyable—for everyone. To achieve that goal, the team created a whole new form of transportation. Zoox will provide mobility-as-a-service in dense urban environments.

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Full-time, on-site
DATE POSTED
June 28, 2024

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