Brand-Embedded AI Engineer: Ship AI in Live Commerce Ops

Posted today

pollyesterBrooklyn (NY)

SENIORITY

Mid

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About the role

Pollyester is seeking an AI/ML engineer who prefers building inside a real business to a backlogged roadmap. You will embed with a commerce brand and ship AI into production workflows where revenue happens, learning order flow, data cleanliness, and decision points. From first discussion to running in production, you own the work, build in the brand's stack and data, keep it running, instrument results, and bring lessons back to future projects.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

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