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HomeCompaniesZooxData Scientist - Mapping

Data Scientist - Mapping

Zoox · Foster City, CA · Hybrid · Active · $176,000–$240,000 / year · Lever

Job facts

FieldValue
CompanyZoox
TitleData Scientist - Mapping
Normalized title-
Department / teamSoftware / Autonomy Software
LocationFoster City, CA, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary$176,000–$240,000 / year
Statusactive
ATS providerLever
Posted / first seen2026-06-18 / 2026-06-23
Changed / last seen2026-06-23 / 2026-06-23

Related slices

PageWhat it containsOpen
Company jobsActive postings from Zoox.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Foster City.Open
Department jobsActive postings in Software.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyZoox
Source45f1a12e-419b-4b96-93be-f479c9356a1b
ATS providerLever

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 ID2381ace21495fbcca17ee02424f44c58fad0fab3
Org ID518be277-8ec5-4735-b0ad-193a2bc397c7
Source ID45f1a12e-419b-4b96-93be-f479c9356a1b
Board ID45f1a12e-419b-4b96-93be-f479c9356a1b
Providerlever
Provider Job Keyfd97675c-3483-42c6-826f-12fbb96ccafc
TitleData Scientist - Mapping
Normalized Title
Statusactive
Activeyes
Location TextFoster City, CA
DepartmentSoftware
TeamAutonomy Software
Employment TypeFull-time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionCA
CityFoster City
Salary RawUSD 176000-240000 per-year-salary
Salary Min176,000
Salary Max240,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/zoox/fd97675c-3483-42c6-826f-12fbb96ccafc
Apply URLhttps://jobs.lever.co/zoox/fd97675c-3483-42c6-826f-12fbb96ccafc/apply
First Seen At2026-06-23 07:56:06Z
Last Seen At2026-06-23 07:56:06Z
Last Checked At2026-06-23 07:56:06Z
Last Changed At2026-06-23 07:56:06Z
Inactive At
Source Posted At2026-06-18 22:53:54Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=zoox/date=2026-06-23/2026-06-23T07-56-05-149Z-2a03f15479442a97ea6e0f62f95bcfc7f62480c04b71ada54e18d4d906a372b2.json
Event Fields
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  "last_changed_at": "2026-06-23T07:56:06.472Z",
  "active_status": "active"
}
Parsed Structured
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  "remote_policy": "hybrid",
  "salary_period": "year",
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Extensions
{}
Native Structured
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      "text": "In this role, you will:",
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    },
    {
      "text": "Qualifications:",
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    },
    {
      "text": "Bonus Qualifications:",
      "content": "<div>\n\n<li>\n<p>Experience in computer vision, machine learning algorithms,</p>\n</li>\n<li>\n<p>Knowledge of geospatial data and coordinate systems</p>\n</li>\n<li>\n<p>Ability to write highly complex, optimized SQL queries for massive distributed databases,</p>\n</li>\n<li>\n<p>&nbsp;and Databricks experience</p>\n</li>\n\n</div>"
    }
  ],
  "country": "US",
  "createdAt": 1781823234464,
  "updatedAt": null,
  "categories": {
    "team": "Autonomy Software",
    "location": "Foster City, CA",
    "commitment": "Full-time",
    "department": "Software",
    "allLocations": [
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  },
  "salaryRange": {
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    "min": 176000,
    "currency": "USD",
    "interval": "per-year-salary"
  },
  "workplaceType": "hybrid"
}
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