ML Validation Data Scientist, Zoox
Perception
$192-260k
+ Amazon Restricted Stock Units; + Zoox Stock Appreciation Rights
Autonomous vehicle technology
Job no longer available
Autonomous vehicle technology
1001+ employees
Job no longer available
$192-260k
+ Amazon Restricted Stock Units; + Zoox Stock Appreciation Rights
1001+ employees
Company mission
To reimagine transportation from the ground up.
Role
Who you are
- Master's or PhD degree in Computer Science, Statistics, Mathematics, or a related field
- 7+ years of experience in a data science or related field
- Experience with production Machine Learning pipelines, including dataset creation, training frameworks, model validation, and monitoring
- Proficient with data query languages (SQL or Spark/scala) and Python, data science and machine learning frameworks
- Proficient in exploratory data analysis (EDA) and data visualization
Desirable
- Experience in autonomous driving, perception systems, or safety-critical computer vision applications
- Experience using LLMs or agent-based models to meaningfully improve business objectives while maintaining trustworthy and quality results
- Strong background in statistical modeling and analysis
What the job involves
- You will be part of a team building state-of-the-art Artificial Intelligence (AI) solutions for the Zoox autonomous driving Perception stack
- As a member of the Perception team, you will be part of the “eyes and ears” of the Zoox autonomous driving stack, deploying state-of-the-art AI solutions to ensure safe and effective driving
- We are seeking a highly skilled and experienced Data Scientist to join our Perception Verification & Validation team
- In this role, you will develop data analyses and models to evaluate and improve the quality and efficiency of Zoox's autonomous driving Perception system
- Working closely with perception engineers, metrics engineers and machine learning engineers, you will define key performance metrics, build validation pipelines, and ensure our AI-driven Perception stack operates safely and effectively in real world conditions
- Use multi-modal data from across the company to develop models and strategies that improve the speed and quality of our perception validation process
- Analyze large-scale data from perception metric results to introspect the perception stacking, understanding trends and key failure modes
- Collaborate cross-functionally with perception engineers, metrics engineers, and machine learning engineers, including presenting results and insights to leadership
- Work with infrastructure teams to deploy models that operate on TBs of data, including monitor performance over time
- Support development of new metrics and statistical validation approaches
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
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, 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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