Senior/Staff Software Engineer, Zoox

Prediction Machine Learning Engineer

$221-319k

+ Amazon Restricted Stock Units (RSUs) + Zoox Stock Appreciation Rights

Python
C++
Senior and Expert level
San Francisco Bay Area

Office located in Foster City, CA

Zoox

Autonomous vehicle technology

Open for applications

Zoox

Autonomous vehicle technology

1001+ employees

B2CArtificial IntelligenceCarsTransportElectric VehiclesAutomation

Open for applications

$221-319k

+ Amazon Restricted Stock Units (RSUs) + Zoox Stock Appreciation Rights

Python
C++
Senior and Expert level
San Francisco Bay Area

Office located in Foster City, CA

1001+ employees

B2CArtificial IntelligenceCarsTransportElectric VehiclesAutomation

Company mission

To reimagine transportation from the ground up.

Role

Who you are

  • 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

Desirable

  • Conference or Journal publications in Machine Learning or Robotics related venues
  • Prior experience with Prediction and/or autonomous vehicles in general

What the job involves

  • The Prediction & Behavior ML team is responsible for developing machine learning (ML) algorithms that learn and predict behaviors from data, applying them both on-vehicle to influence driving behavior and off-vehicle to provide ML capabilities to simulation and validation
  • Given the tight integration of behavior forecasting and motion planning, our team collaborates closely with the Planner team to advance overall vehicle behavior
  • We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance
  • As a Prediction Machine Learning Engineer you will be responsible for developing machine learned models to predict the behavior of other agents in the world
  • You will develop new algorithms to model the future behavior of all other agents 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 develop metrics and tools to analyze errors and understand improvements of our systems
  • You will collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments

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Insights

Led by a woman
Top investors

24% employee growth in 12 months

Company

Company benefits

  • Paid parental leave
  • Affinity groups and sports clubs
  • Work from home opportunities
  • Health insurance
  • Our crew’s health and happiness is our first priority. We offer comprehensive health and mental health support, a wellbeing program, and unlimited and flexible paid time away
  • We invest in our crew—and their families—for the long term. That includes generous family planning support, caregiver support, and strong cash compensation with great equity upside
  • We look after our crew when they’re in the office too. Our famous food program is a great example, featuring a daily changing menu of local and sustainable dishes
  • There’s a busy calendar of social events at Zoox, with more sports teams than you can count. And, of course, playing with robots is an important part of the job description

Funding (last 2 of 5 rounds)

Oct 2019

$200m

CONVERTIBLE

Jul 2018

$500m

SERIES B

Total funding: $1.2bn

Our take

Zoox, a self-driving vehicle company, was founded to make personal transportation safer and more enjoyable for all. It has aimed to achieve this goal by creating a new mode of driverless transportation, thus eradicating the safety and logistical issues that come with human drivers.

It revealed its custom vehicle design in December 2020, showcasing something different from just a car without a driver. Uniquely, all four wheels are independent of one another, and the vehicles have no front or back, making them more agile than a standard car. Zoox claims that it is different from other industry players because it has created an entire driverless ecosystem, including the vehicle itself, allowing it to have more control.

The company is fast becoming a major player in an industry that is predicted to be worth $2 trillion by 2030. Electric motors are highly desirable, particularly in an urban environment, as governments look for ways to reduce emissions and improve air quality. Zoox is aiming to play a vital role in this evolution towards more sustainable urban mobility. Amazon acquired the company in 2020 and, despite a general downturn in the sector through 2022, is building a Zoox factory and budgeting $1 billion per year for future development and production.

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Kirsty

Company Specialist at Welcome to the Jungle