Etsy

Senior Machine Learning Engineer I, Search Ads

Etsy$182K — $246K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in machine learning or related field
  • Proficiency in natural language processing, deep learning, or recommendation systems
  • Experience with deploying and maintaining production ML systems
  • Ability to define requirements and lead projects from inception to completion
  • Strong coding skills focused on readability and maintainability
  • Awareness of user impact in machine learning work

Responsibilities

  • Collaborate with product teams to align ML capabilities with business goals
  • Enhance ad relevance and buyer engagement through machine learning innovations
  • Prototype and optimize scalable ML models for ad systems
  • Conduct A/B testing to evaluate model performance
  • Work with analytics and other teams to drive product improvements

Benefits

  • Equity package and annual performance bonus
  • Supportive family-friendly benefits
  • Flexible work environment with remote options
  • Emphasis on teamwork and individual contributions
Full Job Description
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 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 . 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.

About Etsy

Etsy is an American e-commerce company that provides a global online marketplace for handmade goods, vintage items, and craft supplies. Etsy's community of sellers includes artists, craftspeople, and collectors who sell a wide range of items, including jewelry, clothing, home décor, art, toys, and craft supplies. Etsy was founded in 2005 and is headquartered in Brooklyn, New York. The company has a strong commitment to sustainability and social responsibility, and has been recognized for its efforts to reduce its environmental impact and support small businesses around the world.
Learn more about Etsy
Size
2,576 employees
Market Cap
$15.2 billion
Industry
Net Income
$349.2 million
Founded
2005
5 Year Trend
+44.9%
Revenue
$1.7 billion
NASDAQ

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