ML Engineer / Data Scientist - Core
remotemid
via Ashby
About this role
HILBERT IS BUILDING THE ML SYSTEMS THAT POWER DEMAND INTELLIGENCE FOR THE WORLD'S LARGEST CONSUMER COMPANIES — RECOMMENDATION ENGINES, DEMAND FORECASTING, CUSTOMER LIFECYCLE MODELS, AND ACTIVATION SYSTEMS THAT MUST WORK ACROSS WILDLY DIFFERENT RETAILERS, DATA ENVIRONMENTS, AND BUSINESS CONTEXTS. THIS ISN'T SINGLE-TENANT MODEL BUILDING; IT'S DESIGNING CONFIGURABLE, PRODUCTION-GRADE ML SYSTEMS THAT GENERALIZE ACROSS FORTUNE 500 ENTERPRISES AND BELOVED CONSUMER BRANDS ALIKE.
We're looking for an ML Engineer who understands B2C business problems deeply, builds models and pipelines that work with real-world data, and delivers systems that drive real growth outcomes — all with the ownership and urgency of a startup.
This is not a "receive a ticket, train a model, hand off a notebook" role.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: less
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is remote-eligible — we factor in your stated location and time-zone overlap.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
less