Description review

Shield AI | GenAI Tooling & DevEx | Full Time | ONSITE Washington DC

Shield AI · Full Time · back to the listing

HR standards

33/100

poor

Title ↔ description

29/100

poor

Reads as

Machine Learning Engineer

93% 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

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Startups

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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
No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity

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.

Shield AI's mission is to protect service members and civilians by creating intelligent systems.
Come build AI tooling with me! Working with AI Agents alongside export controlled data is really difficult, so we are building completely custom solutions to meet our teams needs. You must be fluent with GenAI assisted development.
https://jobs.lever.co/shieldai/e74514eb-0abd-4bae-b794-6ad1f9c339b2
Contact info on my profile if you have any questions I'm happy to chat!