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 .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 production, 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 of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.

Qualities that will help you thrive in this role are:

• 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.

Compensation & Benefits

In addition to salary, you'll be eligible for an equity package, an annual performance bonus, and our that support you and your family. Base salary is determined by your location, skills, and experience.

Etsy uses two geographic pay zones to reflect the labor markets where we compete for talent: one called Geo-1, covering the New York City metropolitan area, San Francisco Bay Area, and Seattle metropolitan area, and one called Geo-2, covering all other U.S. locations. Salary ranges for this role vary by zone and are listed below.

Location

We prioritize candidates based within commutable distance of Etsy’s Brooklyn Office. Depending on proximity, we ask team members to come in once or twice per week. Remote candidates outside commutable distance may be considered on a case-by-case basis, with the expectation of occasional travel to the office. Learn more details about our work modes and workplace safety policies .

Salary Range:

What's Next

If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.