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Etsy, Inc.

Machine Learning Engineer IC3.1. Ads Recommendations

Remote, United States

Apply on etsy.wd5.myworkdayjobs.com About employer

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Job details

Posting language: English
Posted: Nov 13, 2026

Original job description

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 employee, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.

We believe exceptional companies are built by exceptional teams, and we're intentional about it. That means hiring great people, setting them up for success from day one, and giving them real reasons to grow their careers here. We invest in development that goes beyond promotions, and we foster the trust and relationships that help people do their best work together.

What’s the Role?

In this role, you will have the opportunity to work with our machine learning systems that impacts our ads delivery system, including candidate retrieval, user engagement modeling, and ad experience on Etsy.com and the Etsy app. In addition to expanding our machine learning systems, you will work closely with other machine learning engineers and our product analytics partners to help drive product and customer impact.

This is a full time role reporting to the Engineering Manager.

What’s this team like at Etsy?

Etsy is seeking a Senior Engineer for our Ads Quality team, one of the machine learning engineering teams for Etsy Ads, our onsite ad platform. Etsy Ads is used by our smallest and largest sellers to grow their businesses and it is one of the major revenue streams for Etsy. The Ads Quality team focuses on determining which listings a buyer should be shown using machine learning techniques in order to maximize relevance, seller return, and Etsy revenue. This includes building machine learning systems designed to retrieve the most relevant ads for our buyers across a range of advertising surfaces throughout the buyer's journey.

What does the day-to-day look like?

Work cross functionally with product engineering teams and communicate your ideas and model capabilities to product managers
Apply the latest advances in machine learning to improve the relevance and increase buyer ad engagement
Prototype, optimize, and productionize large-scale ML models to improve our ads funnel
Conduct A/B experiments to validate the efficiency of ML models and pipelines
Work closely with product managers, ML engineers, and analytics partners to measure and improve our ads product
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:

Must-Haves

Solid engineering & coding skills and proficiency in at least one programming language of Python, Scala, Java or C/C++.
Experience with writing scalable and performant data pipelines on distributed systems
Experience with the ML lifecycle: training, deployment, monitoring, debugging and iterating on production machine learning systems

Nice-to-Haves

Familiarity with vector databases, retrieval systems, and ANN tuning in production environments, with Vespa experience preferred.
Hand-on experience in machine learning frameworks & technologies such as Tensorflow, Pytorch.

Compensation & Benefits In addition to salary, you'll be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family. Base salary is determined by your location, skills, and experience.

Etsy uses two geographic pay zones to reflect the labor markets where we compete for talent: one called Geo-1, covering the New York City metropolitan area, San Francisco Bay Area, and Seattle metropolitan area, and one called Geo-2, covering all other U.S. locations. Salary ranges for this role vary by zone and are listed below.

Location We prioritize candidates based within commutable distance of Etsy’s Brooklyn Office. Depending on proximity, we ask team members to come in once or twice per week. Remote candidates outside commutable distance may be considered on a case-by-case basis, with the expectation of occasional travel to the office. Learn more details about our work modes and workplace safety policies here.

Salary Range:

Geo-1: 182,000.00 - 246,000.00 USD Annual
Geo-2: 164,000.00 - 222,000.00 USD Annual

What's Next If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're 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 and is committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, national origin, religion or creed, sex, pregnancy (including childbirth and related medical conditions), gender, gender identity or expression, sexual orientation, age, citizenship or immigration status, marital or familial status, physical or mental disability, medical condition, genetic information, military or veteran status**, or any other characteristic protected by applicable federal, state, or local law**. If, due to a disability, you need an accommodation during any part of the interview or hiring process, please let your recruiter know and we will work with you to meet your needs. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.

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Jobs in the United States