Staff Machine Learning Engineer I, Search Retrieval

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 buyers discover items they'll love. In this role, you’ll stay on top of cutting-edge research in information retrieval and machine learning, and apply the best ideas in production to solve real-world challenges. You’ll collaborate with a cross-functional team of engineers, applied scientists, and product managers to deliver robust systems and models, and evaluate them through live A/B experiments on Etsy.com .You'll own models end-to-end — from data and feature pipelines through training, evaluation, and production serving — and you'll be responsible for the systems that keep them running at Etsy scale. If you're excited about using modern ML to improve search experiences and connect people with meaningful, one-of-a-kind finds, we'd love to hear from you. This is a full-time position in Search Retrieval team, reporting to its Engineering Manager. What’s this team like at Etsy? We apply cutting-edge machine learning, deep learning, and information retrieval techniques to solve high-impact problems at Etsy scale. You’ll work on challenges such as: Designing and improving retrieval engines that power Etsy Search, incorporating techniques like dual-encoder models, vector similarity search, and query expansion Building large-scale indexing and serving systems for lexical and semantic retrieval Collaborating with applied scientists and engineers to bring retrieval models to prod uction, optimize latency and throughput, and scale up across Etsy’s catalog Conducting offline and online experiments to evaluate model quality, latency, and buyer impact What does the day-to-day look like? Architect and scale advanced retrieval systems that optimize relevance, recall, latency, and resilience in production. Lead cross-functional collaborations to shape and prioritize initiatives that directly drive product impact and strategic goals. Take retrieval techniques from research and prototypes into reliable, production-grade systems, owning the full path from experimentation to launch. Design and analyze complex A/B experiments, setting a high bar for methodological rigor and measurable relevance improvements. Investigate and resolve nuanced issues in retrieval behavior, leading efforts to enhance candidate recall, coverage, and diversity across user experiences. Partner closely with product and engineering leadership to define and deliver roadmaps spanning immediate priorities and long-range initiatives (6–12 months+). Act as a technical thought leader in retrieval, mentoring engineers and scientists, and influencing the broader direction of Etsy’s search systems. As with any high-impact role, flexibility is key. Responsibilities may evolve over time in response to business needs and opportunities. Of course, this is just a sample of the kinds