Senior II Applied Scientist, Growth

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?

Etsy is looking for a Senior II Applied Scientist to join our Growth team. This team focuses on improving the buyer experience and increasing the number of visits that turn into purchases (aka driving conversion!). You'll help us build systems and tools that personalize the shopping journey, ensuring buyers find relevant information at the right time, ultimately helping them discover the perfect handmade or vintage item.

We’re building a new machine learning team to support our product engineering squads, where you’ll play a key role in shaping how we understand our buyers and tailor their experiences. You'll work hands-on with a cross-disciplinary team to deliver robust, scalable production models and tools that will be A/B tested live on Etsy.com. Staying at the forefront of ML research, you’ll bring its best ideas to life for millions of Etsy shoppers.

Does using the latest machine learning techniques to help people find the perfect item sound exciting to you? If so, we’d love to hear from you!

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

• Historically, our full-stack engineers have relied on enablement teams for features requiring machine learning solutions. With this new squad, you and your teammates will directly support several product squads (spanning web and mobile) to apply machine learning techniques that align with our broader goal of increasing sales.

• Increase personalized engagement: use machine learning to identify the most effective moments and methods to engage buyers, tailoring their journey to inspire confidence and increase the likelihood of a purchase.

• Leverage generative AI to differentiate the experience: Use the latest developments in LLMs to enhance the customer experience across buyer touchpoints, making the shopping journey more intuitive and efficient.

• Build scalable and modular systems across our mobile app and web platforms, ensuring seamless integration and event logging

What does the day-to-day look like?

• Collaborate cross-functionally to plan, prioritize and execute projects that align with our product goals. You’ll partner closely with ML engineers, full-stack engineers, applied scientists, and product managers to develop and test large-scale experiments.

• Take solutions from 0 to 1: You’ll work comfortably in ambiguous problem spaces, experimenting and driving projects from an initial idea to a fully operational ML product. You will be able to quickly prototype ideas and also establish long-term, scalable solutions.

• Drive business growth through ML: Build and iterate on models by applying cutting-edge research and industry practices that will improve the buyer experience while  simultaneously driving growth for Etsy.