Z
Zoox
Data Scientist
Skills
SQL QueriesPythonDatabricksMachine Learning
4 months ago
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Important information
Salary:
$176,000 – $240,000 / year
Location:
San Francisco, CA, USA
Work mode:
Onsite
Published on:
7 August 2026
What they need
Who you are
- We are seeking highly motivated engineers who are passionate about solving complex, real-world problems and building state-of-the-art mapping systems
- BS or MS in Computer Science or related field and 3+ years of experience
- Proficient in Python
- Strong Statistical Foundations: Deep understanding of hypothesis testing, experimental design, regression analysis, non-parametric/resampling methods (e.g., bootstrapping, permutation tests), and time-series analysis handling autocorrelated data
- Experience with large-scale, multi-modal datasets, benchmarking and introspection
- Ability to identify, clean, and process datasets containing high levels of noise or ambiguous classifications
- Experience in computer vision, machine learning algorithms,
- Knowledge of geospatial data and coordinate systems
- Ability to write highly complex, optimized SQL queries for massive distributed databases,
- And Databricks experience
- You do not need to match every listed expectation to apply for this position
What the job involves
- In this role, you will collaborate with a diverse, cross-functional team to design and develop large-scale HD mapping algorithms, workflows, and data pipelines
- Your work will directly impact our ability to efficiently map new cities and continuously update existing maps at scale, playing a critical role in accelerating our autonomous vehicle deployment
- Design and build a high-quality, large-scale mapping dataset and data pipelines for training and evaluating machine learning models
- Design and build tools for model performance benchmarking and introspection
- Collaborate closely with machine learning engineers to define and refine data curation and model training strategies that drive measurable improvements in model accuracy and performance
- Collaborate cross-functionally with a variety of teams working on things such as perception, planning, prediction, simulation, etc
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
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