Senior Machine Learning Engineer I, Search Ads

etsy; United States; Hybrid; USD 182,000 - 246,000; Full time

Benefits offered by this job

Equity package

Annual bonus

Comprehensive benefits

Job summary

Etsy is seeking a Senior Machine Learning Engineer to join the Search Ads team. You will build user-centric ML systems powering sponsored search for Etsy.com and the Etsy app, serving a global community of buyers and sellers.

You will work cross-functionally to deploy models, run experiments, and continuously improve relevance and engagement, with the role reporting to the Search Ads Engineering Manager in a hybrid work setup near Brooklyn.

Qualifications

• Proven track record applying statistical and ML techniques to real-world problems.
• Expertise in NLP, information retrieval, search, or recommendations.
• Experience training, deploying, monitoring, debugging and iterating production ML systems in ads or search.
• Ability to translate model requirements into deliverables from design to production.
• Strong code quality and maintainability with a focus on end users.

Responsibilities

• Collaborate cross-functionally with product and engineering teams to communicate model capabilities.
• Apply latest ML advances to improve relevance and buyer engagement.
• Prototype, optimize, and productionize large-scale ML models powering ads.
• Run A/B experiments to validate model and pipeline efficiency.
• Partner with PMs, engineers, and analytics to measure impact and drive improvements.

Skills

Machine Learning

NLP

Information Retrieval

Search & Recommendations

Deep Learning

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?

Etsy is hiring a Senior Machine Learning Engineer to join the Search Ads team. We are looking for individuals who are product and delivery-driven, and are passionate about making ML innovations in digital advertising to help improve the Etsy buyer/seller experience.

This is a fantastic opportunity for someone interested in building user-centric ML systems for a two-sided marketplace with 90+ million buyers, 6+ million sellers, and hundreds of millions of unique, handmade, vintage listings. Etsy sellers use Etsy ads for advertising their products and growing their business. Etsy Ads optimizes sellers' budgets to advertise their listings in the places on Etsy where they perform best. The work on the team involves building machine learning systems to power the sponsored search product including retrieval, ranking, ad allocation and user engagement modeling on Etsy.com and the Etsy app.

This is a full-time position in Search Ads team, reporting to its Engineering Manager.

What's this team like at Etsy?

Our team develops custom machine-learning models that can drive product vision and customer impact.

We ensure that the right ads are put in front of the right buyers

We maintain a pipeline that scales for our 90+ million buyers and sellers

We make the ad experience more personalized to a buyers 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:

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


• You are an expert in one of the following fields: natural language processing, information retrieval, search and/or recommendations, deep learning.


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


• You can successfully create requirements and lead your team from design through to delivery.


• You write understandable, testable code and you have an eye towards maintainability.


• You care about the implications of your work on end users.

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