Senior/Staff Machine Learning Engineer, Zoox

Agent Simulation

$200-300k

Plus Amazon Restricted Stock Units (RSUs) and Zoox Stock Appreciation Rights

Python
Tensorflow
C++
NumPy
PyTorch
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

$200-300k

Plus Amazon Restricted Stock Units (RSUs) and Zoox Stock Appreciation Rights

Python
Tensorflow
C++
NumPy
PyTorch
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 a related field
  • Experience with training and deploying deep learning models
  • Experience with production machine learning pipelines: dataset creation, training frameworks, metrics pipelines
  • Fluency in Python and a basic understanding of C++
  • Fluency with Numpy and PyTorch, TensorFlow or JAX
  • Strong mathematics skills

Desirable

  • Experience with LLMs, reinforcement learning, imitation learning
  • Conference or journal publications in machine learning or robotics
  • Prior experience with agent behaviors, prediction, autonomous vehicles or robotics

What the job involves

  • The Agent Simulation group at Zoox is in search of machine learning engineers to play a crucial role in enhancing agent behaviors, assessing performance, and developing tools to prioritize simulation results
  • You will be instrumental in the development of reliable and validated simulations, and have the opportunity to work with a wealth of real-world driving data and an exceptional infrastructure for testing and validating your algorithms
  • Our ML group is focused on creating diverse and innovative agent behaviors, and your contributions will be key in this endeavor
  • Research, implement, and optimize state-of-the-art machine learning approaches to improve plausible agent behaviors
  • Find innovative solutions for agent behaviors and simulation analysis
  • Prove machine-learned algorithms have better performance than heuristics
  • Leverage our large-scale machine-learning infrastructure to discover new solutions
  • Analyze the difference between behaviors in simulation and real-world
  • Work cross-functionally with our safety and autonomy engineers
  • Build scalable, useable cloud pipelines for machine learning solutions for simulation

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

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.

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