About this role
Machine Learning Engineer II, Search Ads
Hybrid
Dublin
Full-time
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 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 role reporting to the Engineering Manager, Search Ads.
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.
Location
We prioritize candidates based within commutable distance of Etsy’s Dublin 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: 82,000.00 - 112,000.00 EUR Annual