Staff Data Scientist, Zoox
Verification & Validation
$256-307k
+ Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package
Autonomous vehicle technology
Open for applications
Autonomous vehicle technology
1001+ employees
Open for applications
$256-307k
+ Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package
1001+ employees
Company mission
To reimagine transportation from the ground up.
Role
Who you are
- The ideal candidate brings a hybrid of statistical rigor and engineering mindset to drive clarity from ambiguity, establish new processes, and propel the team forward
- MS or PhD in Statistics, Computer Science, Machine Learning, Applied Mathematics, or related quantitative field
- Proficiency in Python and SQL with experience in production-quality code
- Demonstrated expertise in statistical methodologies including hypothesis testing, power analysis, spatiotemporal modeling, Bayesian inference, and multivariate analysis
- Experience with large-scale data analysis and statistical modeling
- Proficiency with Git, unit testing, and collaborative development practices
Desirable
- Hands-on experience with production machine learning pipelines: dataset creation, training frameworks, metrics pipelines
- Experience with modern data processing technologies such as Apache Spark, Spark SQL, and Databricks
- Experience with designing metrics and delivering actionable insights that drive business decisions
What the job involves
- Zoox is on an ambitious journey to develop a full-stack autonomous vehicle system for cities
- We are seeking a Staff Data Scientist to join a verification and validation team that evaluates safety-critical AI systems
- You will join a team of software and data engineers that leverage methods including log data analysis, simulation, and closed-course structured testing
- You'll work cross-functionally with AI software, System Design and Mission Assurance, Simulation, Sensors, and other teams to develop, execute, and iterate on validation methods and pipelines
- These pipelines evaluate safety-critical systems, are highly visible, and are an important critical path element of launching our service
- Design Evaluation Frameworks: Architect statistical methodologies for safety-critical AI systems to form objective, rigorous conclusions about their performance and reliability
- Conduct Robust Analysis: Deliver validation evidence to support increasingly complex operations and identify potential edge-case failures
- Inform Strategy: Deliver clear, data-driven insights to development teams to guide system improvement, and to executive leadership to inform milestone-level go/no-go decisions
- Define Metrics: Drive alignment across engineering teams on performance metrics and data extraction strategies
- Lead the Lifecycle: Manage all phases of evaluation including prototyping, requirements capture, design, implementation, and validation
- Scale Pipelines: Partner with engineers to build and maintain scalable data processing and simulation pipelines, applying distributed computing to analyze petabytes of driving data
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, opened its first Zoox factory for robotaxis in 2025, and is testing the autonomous vehicles in multiple cities in the US.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
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 HQ
Vintage Park, Foster City, CA
Leadership
Aicha Evans
(CEO)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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