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 Inc. employee – whether a team member of Etsy, Reverb, Depop, or Elo7 – you’ll tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
What’s the role?
The Knowledge Base team builds a deeper understanding of our buyers, sellers, listings and entities in order to help enable product teams across Etsy to understand, personalize, and rank recommendations that we present to buyers. We produce models, signals, attributes, graphs and structured data that are being consumed by our Machine Learning, Analytics, Engineering and Product partners.
We are looking for an experienced machine learning engineer who can help build Etsy’s next generation capabilities for marketplace understanding.
This is a full-time position reporting to the Senior Manager, Data Science. For this role, we are considering candidates based in the United States who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here.
What does the day-to-day look like?
Build and contribute at all levels of Etsy’s machine learning and knowledge base stack, ranging from application interfaces to the serving layer
Work closely with applied scientists to scale ML solutions across knowledge base, e.g. NLP, deep learning, graph based learning and structured data
Work closely and collaboratively with various engineering teams participating in design, prioritization, and implementation
Enable building rich, semantic understanding of the various kinds of content and inventory in Etsy’s marketplace
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 understand that being an effective engineer is about communicating with people as much as it is about writing code.
You are willing to work with and improve code you did not originally write.
You can tackle unconstrained problems and know when to seek help.
You are flexible with languages and tools and are willing to learn whatever is necessary to get the job done.
You have experience with object-oriented programming languages: Python, Scala, etc.
You have experience with machine learning frameworks (like PySpark, Scalding, etc.).
You have familiarity with machine learning and deep learning solutions across the entire machine learning stack, from data collection to evaluation.
You have familiarity with a few of the following: writing and scheduling ETL pipelines, writing SQL queries for exploration and analysis, tuning mapreduce jobs and cluster resources, building and monitoring cloud services, stream processing systems like Kafka Streams, Spark, or Dataflow.
You have strong verbal and written communication skills.
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.
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 an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit this link for information related to Colorado's Equal Pay for Equal Work Act.