Home › Companies › Zoox › Data Scientist - Mapping
Data Scientist - Mapping
Zoox · Foster City, CA · Hybrid · Active · $176,000–$240,000 / year · Lever
Job facts
| Field | Value |
|---|---|
| Company | Zoox |
| Title | Data Scientist - Mapping |
| Normalized title | - |
| Department / team | Software / Autonomy Software |
| Location | Foster City, CA, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | $176,000–$240,000 / year |
| Status | active |
| ATS provider | Lever |
| Posted / first seen | 2026-06-18 / 2026-06-23 |
| Changed / last seen | 2026-06-23 / 2026-06-23 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Zoox. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Lever. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Foster City. | Open |
| Department jobs | Active postings in Software. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Zoox |
| Source | 45f1a12e-419b-4b96-93be-f479c9356a1b |
| ATS provider | Lever |
Description
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.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Follow us on LinkedIn
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
In this role, you will:
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
Qualifications:
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
Bonus Qualifications:
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
Full job record
| Job ID | 2381ace21495fbcca17ee02424f44c58fad0fab3 |
| Org ID | 518be277-8ec5-4735-b0ad-193a2bc397c7 |
| Source ID | 45f1a12e-419b-4b96-93be-f479c9356a1b |
| Board ID | 45f1a12e-419b-4b96-93be-f479c9356a1b |
| Provider | lever |
| Provider Job Key | fd97675c-3483-42c6-826f-12fbb96ccafc |
| Title | Data Scientist - Mapping |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Foster City, CA |
| Department | Software |
| Team | Autonomy Software |
| Employment Type | Full-time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | CA |
| City | Foster City |
| Salary Raw | USD 176000-240000 per-year-salary |
| Salary Min | 176,000 |
| Salary Max | 240,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://jobs.lever.co/zoox/fd97675c-3483-42c6-826f-12fbb96ccafc |
| Apply URL | https://jobs.lever.co/zoox/fd97675c-3483-42c6-826f-12fbb96ccafc/apply |
| First Seen At | 2026-06-23 07:56:06Z |
| Last Seen At | 2026-06-23 07:56:06Z |
| Last Checked At | 2026-06-23 07:56:06Z |
| Last Changed At | 2026-06-23 07:56:06Z |
| Inactive At | — |
| Source Posted At | 2026-06-18 22:53:54Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=lever/board=zoox/date=2026-06-23/2026-06-23T07-56-05-149Z-2a03f15479442a97ea6e0f62f95bcfc7f62480c04b71ada54e18d4d906a372b2.json |
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