Senior Applied Scientist II

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:

$205,000.00 - $237,000.00

What’s the role?

We are looking for an experienced Senior Applied Scientist to join our Recommendation Ranking team. 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 and Graph Learning!

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?

Our team develops Machine Learning models to understand buyers, personalize, and rank recommendations across Etsy.com and the Etsy app. As an Applied Scientist, you will work closely with Software Engineers to improve the shopping experience for 90+ million buyers.
 

What does the day-to-day look like?

•  Work closely with software engineers, data scientists, product managers, and designers to set the future technical direction of Etsy’s recommendation system

• Push the state of the art and apply the latest advances in deep learning to improve buyer and seller experiences on Etsy such as:

  • Build user models that allow us to better understand the unique interests, tastes, and shopping mission of Etsy’s buyers

  • Develop models that target Etsy-specific problems, including but not limited to personalized ranking, revenue optimization, diversity optimization, and seasonality

• Prototype, optimize, and productionize large-scale ML models that help deliver key results 

• Conduct experiments (A/B testing etc.) to validate the effectiveness of ML models and pipelines 

• 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:

• You have a successful track record of applying machine learning techniques in addressing real-world problems.

• You have experience with / working in one of the following fields: deep learning, multi-modal learning, natural language processing, graph learning. 

• You have experience in training, deploying, monitoring, debugging and iterating on production machine learning systems in search, recommendation, and/or ads systems.

• You write understandable and testable code. You have the ability to write and manipulate data at a large scale and you have an eye towards maintainability. 

• An M.S. or Ph.D. degree in Computer Science or related engineering fields with at least two years of practical machine learning experience

• Experience in both TensorFlow and