Principal Data Scientist, Gen AI and Vision at HERE Technologies
$195,000–$210,000from the description
Jul 1, 2026
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Jul 21, 2026
What this job asks for AI summary
A senior individual-contributor role focused on generative AI and computer vision, spanning diffusion models, video generation, world models, and multimodal systems. The position involves owning model strategy and architecture from early research through production deployment, including fine-tuning pre-trained models, defining evaluation criteria, and mentoring other scientists. Suits a deep-learning specialist with a decade or more of experience who can bridge research and engineering in a hands-on team.
Senior level · 10+ years · Remote · Master's required · Full-time
Advertised as Principal, but the requirements read as Senior.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 880 people nationally plausibly meet what this posting asks for (data scientists). range 180–1,350
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
The role is titled 'Principal Data Scientist' but the day-to-day work spans both deep research (generative modeling, diffusion, multimodal) and production engineering (model packaging, inference optimization, deployment). 15-2051 Data Scientists is the primary classification; 15-1252 Software Developers is a credible runner-up given the strong production-engineering emphasis.
The degree requirement states 'Master's or PhD' — Master's is treated as the minimum hard gate. The JD does not offer an equivalent-experience substitution.
The advertised title is 'Principal' but the actual scope — owning one major technical pillar on a small hands-on team, with mentoring but no explicit people-management — aligns more closely with Senior on the standard career ladder. 'Principal' at many companies, especially smaller ones, maps to what larger organizations call Senior Staff or Senior; the JD does not describe org-wide technical authority.
The role is marked #LI-REMOTE and no specific office location is required, though the compensation and legal disclosures reference US jurisdictions (San Francisco, Los Angeles). Location is treated as remote-US with no specific CBSA.
AWS GPU infrastructure experience appears only under the 'Nice To Have' section and is listed as preferred.
Skills such as 'synthetic data', 'robotics', 'geospatial AI', 'simulation-grounded models', and 'controllable generation' all appear exclusively under the 'Nice To Have' section.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): generative modeling.
This posting reads as a fully-remote role, so it was scored against the national candidate pool rather than a single metro.
Read the full posting
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