Description review

Yahoo! Search | Engineering Managers, Machine Learning

Yahoo! Search · Remote · back to the listing

HR standards

42/100

poor

Title ↔ description

43/100

poor

Reads as

Machine Learning Engineer

92% confident

What this role officially is

data scientist — ESCO, the EU occupation classification

Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.

Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist

How others title the same work

Large employers

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Startups

  • Attendi | Medior Machine Learning Engineer | Amsterdam, Netherlands | ONSITE (hybrid) | €6,000 - €7,000 per month | Full-time (80–100%, ~4–5 days/week) | Visa sponsorship + 30% ruling possible Attendi
  • Member of Technical Staff (applied) Anthrogen
  • Aptura AI | Full-Time | MTS (Applied AI), MTS (SWE / Product) | London | ONSITE / HYBRID Aptura AI
  • Arcforma AI (arcforma.ai) | AI Engineer (Marketing / Construction / Arcforma AI (arcforma.ai)
  • Staff AI Engineer - Agent Architecture & Behavior Artisan

What the listing never says

  • No section describes what the person would actually do. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

Engineers (Senior, Staff)| US, Canada Remote | Full-time

Our group at Yahoo! Search runs the platform that powers AI chat across Yahoo properties (Finance, Sports, News, Search, etc.) as well as our new AI search surface https://scout.yahoo.com/. Lots of fun problems to work on building a high quality grounding data search engine, agentic chat, and our internal knowledge graph -- all at scale with real users.
We are a fully distributed team but work on US time zones. Working environment is somewhere between big tech and startup world, so experience with both would be ideal.
If you're interested, send me your resume at sam.brotherton [at] yahooinc [dot] com

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 12 points (from 54 before penalties). Reviewed 21 Sep 2026.