Senior Machine Learning Engineer I, Search Ads

Company DescriptionEtsy 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 buyersWe maintain a pipeline that scales for our 90+ million buyers and sellersWe make the ad experience more personalized to a buyers journeyWhat does the day-to-day look like?Work cross functionally with product engineering teams and communicate your ideas and model capabilities to product managersApply the latest advances in machine learning to improve the relevance and increase buyer ad engagementPrototype, optimize, and productionize large-scale ML models to improve our ads funnelConduct A/B experiments to validate the efficiency of ML models and pipelinesWork 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 lawQualities 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 problemsYou 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 & BenefitsIn 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.LocationWe 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 NextIf 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 PromiseAt 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.SummaryLocation: Brooklyn, New YorkType: Full time