Staff Machine Learning Engineer I, Search Retrieval

Etsy•Brooklyn, NY

3d•Hybrid

About The Position

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.

Requirements

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.
Experience designing scalable and extensible ML systems that account for localization and regional variation, enabling global product impact.
Demonstrated technical leadership on complex ML systems, setting technical direction, driving cross-team initiatives, and raising the engineering bar for others.
Strong software engineering foundations with a focus on writing clean, maintainable, and production-ready code; proficient in Python, Java, Scala, or equivalent languages.
Hands-on experience with modern ML frameworks and infrastructure, such as PyTorch, TensorFlow/TFX, and a deep understanding of their use in production environments.
Ability to translate abstract ideas into reliable, well-tested code that is easy to understand and evolve by teammates and your future self.
A collaborative and empathetic team member who communicates clearly and constructively across disciplines.

Responsibilities

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.