Lead ML Engineer / Data Scientist
remotesenior
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 ARCHITECTURES THAT GENERALIZE ACROSS FORTUNE 500 ENTERPRISES AND BELOVED CONSUMER BRANDS ALIKE.
We're looking for a Lead ML Engineer who thinks in systems, understands B2C business problems deeply, and can build the models and pipelines that power real growth outcomes — all with the ownership and urgency of a founder.
This is not a "build a model in a notebook and hand it off" 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
We compare your skills against the role requirements.
2
Level fit
This role is senior-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