Startups · AI

Staff Machine Learning Engineer I, Search Retrieval

Etsy · Brooklyn, New York · On-site

← All jobs
About Etsy

Backed by Accel and USV.

About the role

Hands-on experience building retrieval or search systems end-to-end, including some combination of lexical matching, semantic/embedding-based retrieval, indexing, and low-latency serving, and taking them from prototype to production. Proven track record of delivering impactful machine learning and NLP solutions across the full pipeline: from data extraction and feature engineering to model development, evaluation, and seamless production integration.

More about this role

Company Description

Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy employee, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.

We believe exceptional companies are built by exceptional teams, and we're intentional about it. That means hiring great people, setting them up for success from day one, and giving them real reasons to grow their careers here. We invest in development that goes beyond promotions, and we foster the trust and relationships that help people do their best work together.

What’s the role?

We’re looking for a Staff Machine Learning Engineer I to join the Search Retrieval team at Etsy. Our mission is to build efficient, scalable, and intelligent retrieval systems that surface the most relevant listings from a catalog of over a hundred million unique and creative items. We combine lexical matching, semantic retrieval, and hybrid models to power the first step in Etsy’s search stack, which helps...

Read the full posting on Etsy's site ↗

Build your edge while you search

Free tools for founders and investors, plus VC Unfiltered, our take on startups, venture and the people who build them.