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Data Scientist

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Onsite

Data Scientist

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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