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:

$170,000.00 - $200,000.00

What’s the role?

We are looking for an experienced Senior Applied Scientist to join our Recommendations and Personalization organization in order to help enable product teams across Etsy to understand, personalize, and rank recommendations that we present to buyers.

This is a full-time position reporting to the Engineering Manager.. 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?

As a Senior Applied Scientist, you will work closely with Software Engineers to build custom machine-learning models in the domain application of Recommendations, Computer Vision, and Knowledge Base (Structured data). We are looking for individuals who are product & technology driven, and are passionate about making ML innovations in areas such as: Ranking, Optimization, Natural Language Processing, Deep Learning, Graph Learning, and Reinforcement Learning to help improve the Etsy buyer/seller search experience!

What does the day-to-day look like?

Use ML to build rich, semantic understanding of the various kinds of content and inventory in Etsy’s marketplace
Build user models that allow us to better understand the unique interests, tastes, and shopping mission of Etsy’s buyers
Use representation learning to capture different kinds of relationships between Etsy’s inventory based on categorical, stylistic, or thematic similarity
Develop models with custom architecture or objective functions that target Etsy-specific problems, including but not limited to personalized ranking, revenue optimization, seller fairness, and seasonality
Work closely with software engineers, data scientists, product managers, and designers

Qualities that will help you thrive in this role are:

Successful track record of applying machine learning techniques in addressing real-world problems
Experience with / working in one of the following fields: reinforcement learning, deep learning, or computer vision
Shown success developing productionized machine learning systems. You are comfortable with using git, docker, and other tools for writing robust, production-ready code
Ability to write and manipulate data at a large scale, in distributed environments
An M.S. or Ph.D. degree in Computer Science or related engineering fields, or 3+ years of practical machine learning experience
Experience using Google Cloud Platform
Experience in building production search, recommendations, advertising, knowledge base (structured data), or general e-commerce systems.

Additional Information

Whats Next
If youre interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if youd like. As we hope youve seen already, Etsy is a place that values individuality and variety. We dont want you to be like everyone else -- we want you to be like you! So tell us what youre all about.

Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.