Senior Machine Learning Engineer II, Machine Learning Team for 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?

We’re looking for a Senior Machine Learning Engineer II to join our Machine Learning Team for Growth. In this role, you’ll lead initiatives focused on leveraging machine learning to drive business growth across multiple channels—think messaging  notifications, SEO, and paid advertising. You’ll be pioneering new solutions from the ground up, staying abreast of the latest research, and owning the end-to-end ML lifecycle—from data extraction to production deployment.

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

• We’re scrappy and product-minded: we collaborate with teams who aren’t steeped in ML, and bring a clear ML vision that drives real business outcomes.

• We stay close to the latest research—not to chase novelty, but to find proven techniques we can apply to real problems and ship effective solutions fast

• We focus on taking projects from 0 to 1 in areas and product spaces where ML is just getting started—think message notifications/campaigns,  paid ads optimization, and generally driving traffic to Etsy via ML solutions.

• With 100+ million users and billions of messages and ads sent each month, our work directly impacts Etsy’s growth at a massive scale.

• We value creative problem-solvers who are eager to tackle real-world challenges—backed by practical habits like code reviews, documentation, and thoughtful testing to help ideas scale.

What does the day-to-day look like?

• Take solutions from 0 to 1: You’ll be comfortable working in ambiguous problem spaces, experimenting, and driving projects from an initial idea to a fully operational ML product. You are comfortable proving out ideas quickly as well as establishing long term solutions.

• Leverage existing ML infrastructure and partnerships with platform teams to build scalable and modular ML systems across messaging, search engine optimization, and paid media efforts.

• Track cutting-edge ML research and bring back ideas we can actually use to build smarter, faster, and more impactful solutions.

• Productionize ML solutions: Develop robust systems for training, deploying, and monitoring ML models at scale.

• Collaborate cross-functionally: Work closely with Applied Scientists, Data Engineers, Product Managers, Marketing, and other stakeholders to align projects with broader product goals.

• ETL and data analysis: Build critical data pipelines, perform exploratory analysis, and ensure data quality and reliability – especially for model training data.

• Experimentation and measurement: Design and execute A/B tests to measure the effectiveness of ML-driven features, iterating quickly based on findings.

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