Engineering Manager, Search Retrieval

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 Inc. employee, whether a team member of Etsy, Reverb, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.

Salary Range:

$207,000.00 - $269,000.00

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 Inc. employee, whether a team member of Etsy, Reverb, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.

What’s the role?

We are looking for an Engineering Manager to lead our Search Retrieval team. You will lead a team of engineers and applied scientists to drive the design, development and optimization of our search retrieval systems, ensuring we deliver the best and relevant search experience for our users. We develop efficient, state-of-the-art, large-scale search models that sift through a universe of over a hundred million special, extraordinary items to help our buyers find something they will love.
 

As the engineering manager, you will support and grow our engineers and scientists with expertises spanning across machine learning, deep learning and high-performing retrieval systems. We closely follow the latest research in information retrieval and implement its best ideas efficiently, at scale for the benefit of our buyers. Working hands-on with a cross-functional team, we deliver robust production models that will be A/B tested! Does helping people find the perfect handmade or vintage good from using the latest ML research sound exciting to you? If so, we could be the perfect match.
 

This is a full-time position reporting to the Director of Engineering, Search Relevance. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy.

For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our  work modes and workplace safety policies here.

What’s this team like at Etsy?

Search Retrieval is a machine learning team under Search Relevance sub-initiative that strives to improve relevancy of search results for Etsy buyers. We apply the latest techniques from machine learning, natural language processing (NLP), and information retrieval research at Etsy’s scale. Here is a taste of some of the problems we are solving:

• Use lexical and neural retrieval models to improve search relevance while also considering cross-border trades, nuances on different markets and query specificity.

• Work closely with fellow ML engineers, backend engineers, scientists, and product managers to develop & test large scale experiments to improve relevance.

• Optimize ML models to meet latency SLAs at the scale of Etsy production traffic and launch live A/B experiments to test our hypotheses.

• Co-organize research/paper-reading group to stay up to date with the latest trends and advancements in search technologies, information retrieval, and machine learning to guide team strategy and inno