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 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.

Job Description

What's the role? 

Etsy is an international marketplace with 65M+ handmade and vintage items from passionate artists, designers, and vintage collectors. Our Recommendations and Personalization (PersoEng) enables product teams across Etsy to understand, personalize, and rank recommendations that we present to buyers.

We are looking for an experienced machine learning engineer who can help build Etsy’s next-generation capabilities for the candidate generation. Our Recommendations and Personalization (PersoEng) enables product teams across Etsy to understand, personalize, and rank recommendations that we present to buyers.

This is a full-time position reporting to the Applied Science Manager, Recommendations. For this role, we are considering candidates based in the US 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's this team like at Etsy? 

• The Retrieval team builds capabilities to select relevant item candidates to help product teams to provide personalized user experiences.
• We use machine learning algorithms to train models which can be used to choose relevant personalized candidate sets for our recommendation engine.

What's the day-to-day look like? 

• Build and contribute at all levels of Etsy’s machine learning 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, representation 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 Etsy’s users and the various kinds of content and inventory in Etsy’s marketplace
• Provide detailed and constructive design and code reviews
• 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 your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.

Qualifications

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 success in turning ideas into deeply reliable and well-tested code with an eye towards maintainability and scalability.
• You have a successful track record of collaborating with machine learning scientists, product managers, data analysts, and designers.
• You have strong verbal and written communication skills.
• Experience using Google Cloud Platform
• Experience in building production search, recommendations, advertising, knowledge base (structured data), or general e-commerce systems.
• Experience using the following frameworks: Spark Scala, Airflow, Kubflow, Tensorflow, TF Serving
• An M.S. or Ph.D. degree in Computer Science or related fields, with 3+ years of industry experience

Additional Information

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.

Our Promise

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.