Zoox is a mobility-as-a-service company developing a fully autonomous, purpose-built robotaxi designed around the rider, not a steering wheel. The company combines advanced AI and precise engineering to deliver safe, clean, and efficient transportation. Zoox is backed by Amazon and aims to revolutionize urban mobility by reducing congestion and improving street safety. The company is preparing for its debut in Las Vegas and has future plans for San Francisco, Austin, and Miami.
Zoox is a mobility-as-a-service company developing a fully autonomous, purpose-built robotaxi designed around the rider, not a steering wheel. The company combines advanced AI and precise engineering to deliver safe, clean, and efficient transportation. Zoox is backed by Amazon and aims to revolutionize urban mobility by reducing congestion and improving street safety. The company is preparing for its debut in Las Vegas and has future plans for San Francisco, Austin, and Miami.
Product: Purpose-built, fully electric and fully autonomous robotaxi (no steering wheel)
Business model: Mobility-as-a-service operator with full-stack vehicle and operations
Ownership: Acquired by Amazon in 2020
Scale: Reported ~4,074 employees
Company Overview
Problem Domain
Urban mobility and transportation (autonomous vehicle-based ride-hailing)
Founded
2014
Industry
Autonomous vehicles / Mobility-as-a-service
Funding Track Record
Venture- 2016-06-30
$200,000,000
Reported $200M round (investors included Lux Capital and DFJ)
Venture- 2016-11
$50,000,000
Reported $50M round
Venture- 2018-07-17
$500,000,000
Reported $500M round
Acquisition- 2020
Acquired by Amazon in 2020
Founders
What we do
Join the Team
Senior/Staff Machine Learning Engineer
On-SiteSan Francisco Bay Area, US
On-Site • San Francisco Bay Area, US
Who you are
Experience: A PhD in a relevant field and/or 5+ years of experience working with machine learning models and data science methodologies in an industry setting
Technical Skills: Expertise in machine learning concepts, including model training, evaluation, and optimization. Strong programming skills in Python and experience with relevant machine learning libraries (e.g., PyTorch, TensorFlow, Jax). Experience with large-scale data processing and distributed computing
Domain Knowledge: Experience in robotics, autonomous vehicles, or a related field, with an understanding of challenges in perception, prediction, and planning
Mindset: Proven ability to drive progress independently, lead technical projects, and apply critical thinking to solve practical problems
Communication: Excellent communication skills and the ability to work effectively with cross-functional teams
Real-world impact as demonstrated in publications, patents, presentations, blog posts, etc
Familiarity with encoder-decoder or foundation models for prediction and planning
Experience with test scripting and data analysis languages like SQL
Experience with techniques for machine learning model interpretability and explainability
Familiarity with the challenges of fleet data collection and validation in the autonomous vehicle space
What the job involves
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
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We are looking for a Senior or Staff Machine Learning Engineer to join our team to help improve our automated testing and validation processes
This role is centered on applying cutting-edge machine learning to develop and enhance our validation processes
You will be instrumental in improving the efficiency and scalability of our testing by sampling across massive datasets where traditional methods no longer suffice
By working with both real-world fleet logs and synthetic data, your work will directly impact how we validate software changes and ensure our robotaxi service is both safe and reliable
Your work will also significantly contribute to the speed and efficiency of our validation process, allowing Zoox to go fast and achieve more
You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential
This high-impact position offers opportunities for career growth through demonstrated achievement
Lead Technical Initiatives: You will apply modern machine learning, including advanced techniques like encoder-decoder models, to critical validation problems at the intersection of ML and data science. You will serve as a key contributor and tech lead on a small, focused team
Improve Model Interpretability: You'll pioneer methods to understand the internal workings of our machine learning models, bridging the gap between "black box" models and systems engineering. This work will be crucial for building trust and ensuring the safety of our autonomous systems
Improve Feature Representation: You'll extend and refine the features and embedding space used by our models to better identify and cluster interesting driving scenarios. This involves leveraging a deep understanding of the autonomous driving stack and applying first-principles thinking to derive new, impactful features
Integrate AV Performance Data: You'll incorporate metrics and information on autonomous vehicle (AV) performance into the model to make its risk predictions more accurate and relevant
Optimize with Data Science: You'll apply your data science expertise to optimize models and sampling methodologies. This includes analyzing large datasets to identify patterns and critical insights that improve the model's ability to find risky or valuable scenarios for simulation
Collaborate Cross-Functionally: You'll work closely with system safety, data science, software, and fleet operations teams to understand their needs and integrate improvements that directly support our validation efforts
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
