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 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 experienced Machine Learning Engineer to join our Recommendation Ranking team. Our team develops Machine Learning models to understand buyers, personalize, and rank recommendations across Etsy.com and the Etsy app. As a Machine Learning Engineer, you will work closely with Applied Scientist and Software Engineer to improve the shopping experience for 90+ million buyers. We are looking for individuals who are product & technology driven, and are passionate about making ML innovations in areas such as ranking, distributed training and serving, LLM and real-time systems.
This is a full-time position reporting to the Senior 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.

QUALITIES THAT WILL HELP YOU THRIVE IN THIS ROLE ARE:

• You have experience of applying machine learning techniques in addressing real-world problems.
• You have experience in one of the following fields: deep learning, multi-modal learning, natural language processing, graph learning, distributed training/serving, ML infra platform.
• You have experience with large datasets and developing scalable data pipelines.
• You have deep familiarity with at least some of our tools: Python, Tensorflow, PyTorch, Spark, PySpark, Scala, Airflow.
• You have a collaborative mindset and are comfortable working with a diverse range of roles and departments.
• 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.
• A degree in Computer Science or related engineering fields with at least two years of industry experience.