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# Data Scientist - Mapping

- **Company:** Zoox
- **Location:** Foster City, CA, United States
- **Experience:** Experienced
- **Salary:** $176,000.0 - $240,000.0
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Computer Vision, Distributed Data Store, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Regression Analysis, SQL Databases, Build Management, Information Technology, Data Pipelines, Databricks
- **Published:** June 24, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=43ef178d2c5fe29c

## About the Role

Do you have experience in Time series models?, Do you have a Bachelor's degree?, High-definition HD maps are foundational to enabling safe, scalable autonomous driving. We are seeking highly motivated engineers who are passionate about solving complex, real-world problems and building state-of-the-art mapping systems.

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., * 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

## Description

* 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


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