Senior/Staff Machine Learning Engineer, Zoox

Prediction & Behavior Machine Learning

$210-303k

+ Amazon Restricted Stock Units. A sign-on bonus may be part of a compensation package

Python
C++
Senior and Expert level
Boston
Zoox

Autonomous vehicle technology

Open for applications

Zoox

Autonomous vehicle technology

1001+ employees

B2CArtificial IntelligenceCarsTransportElectric VehiclesAutomation

Open for applications

$210-303k

+ Amazon Restricted Stock Units. A sign-on bonus may be part of a compensation package

Python
C++
Senior and Expert level
Boston

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 or robotics in general

What the job involves

  • The Prediction & Behavior ML team is responsible for developing machine-learned models that understand the full scene around our vehicle and forecast the behavior for other agents, our own vehicle’s actions, and for offline applications
  • To solve these problems we develop deep learning algorithms that can learn behaviors from data and apply them on-vehicle to influence our vehicle’s driving behavior and offline to provide learned models to autonomy simulation and validation
  • Given the tight integration of behavior forecasting and motion planning, our team necessarily works very closely with the Planner team in the advancement of our overall vehicle behavior
  • The Prediction & Behavior ML team also works closely with our Perception, Simulation, and Systems Engineering teams on many cross-team initiatives
  • Develop new algorithms to model the future behavior of all other agents in the world
  • Develop new algorithms to model the future behavior of our own vehicle’s future actions, both in predicting our driving trajectories and estimating their quality in relation to our goals of safety, progress, and comfort
  • Develop new algorithms to apply generative deep learning to simulation to improve the realism of our offline validation systems
  • Build the foundation models for the on-vehicle and offline applications
  • Leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field
  • Engineer software that runs on-vehicle to efficiently execute our algorithms in real time
  • Develop metrics and tools to analyze errors and understand improvements of our systems
  • Collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments

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.

Kirsty headshot

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Led by a woman
Top investors

Few candidates hear
back within 2 weeks

24% employee growth in 12 months

Company

Funding (last 2 of 5 rounds)

Oct 2019

$200m

CONVERTIBLE

Jul 2018

$500m

SERIES B

Total funding: $1.2bn

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

Company values

  • WE'RE DOING ONE THING THAT WILL CHANGE EVERYTHING: Safer, cleaner, more enjoyable mobility—for everyone. One product and one mission, bringing us together and driving us forward.
  • IT’S BIGGER THAN ANY OF US: Collaboration isn’t just something we talk about. It’s the only way we get this done. It takes trust, humility, and openness. And it means we pull together like no other team
  • ONE ZOOX, ONE CREW: Zoox is an inclusive, diverse, supportive community. One where we celebrate together, face challenges together, and grow stronger together. And where we work hard to ensure no one is left out and everyone is part of the story.
  • EVERY DAY IS A MILESTONE: From each line of code to each mile on the road, everything we do is another step forward in our mission. We ask questions, tackle problems head-on, and celebrate the progress we’re making

Company HQ

Vintage Park, Foster City, CA

Leadership

Aicha Evans

(CEO, not founder)

Having studied at the George Washington University, Aicha started her career with 2 years in Engineering at Skyworks before joining Intel, where she spent over 11 years. She left her role as Corporate Strategy Officer in February 2019 to join Zoox as CEO.

Jesse Levinson

(CTO)

Prior to co-founding Zoox, completed a Computer Science PhD at Stanford University. Also created Pro HDR, a million+ selling mobile photography app.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

Submit your salary to help other candidates with crowdsourced salary estimates.

Share this job

View 125 more jobs at Zoox