Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the world. Etsy, Inc.'s 'house of brands' portfolio has expanded to now include four individually distinct ecommerce brands -- Etsy, fashion resale marketplace Depop, musical instrument marketplace Reverb, and Brazil-based handmade goods marketplace Elo7. As an Etsy employee, you'll tackle unique problems alongside talented coworkers committed to Keeping Commerce Human. We're large enough that you'll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact.
Job Description
What’s the role?
We are looking for an experienced Applied Machine Learning Scientist to join our Recommendations and Personalization organization in order to help enable product teams across Etsy to understand, personalize, and rank recommendations that we present to buyers.
As an Applied Scientist, you will work closely with Software Engineers to build custom machine-learning models in the domain application of Recommendations, Computer Vision, and Knowledge Base (Structured data). We are looking for individuals who are product & technology driven, and are passionate about making ML innovations in areas such as: Ranking, Optimization, Natural Language Processing, Deep Learning, Graph Learning, and Reinforcement Learning to help improve the Etsy buyer/seller search experience!
This is a full-time position reporting to the Engineering Manager. For this role, we are considering candidates based in the U.S. 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?
Use ML to build rich, semantic understanding of the various kinds of content and inventory in Etsy’s marketplace
Build user models that allow us to better understand the unique interests, tastes, and shopping mission of Etsy’s buyers
Use representation learning to capture different kinds of relationships between Etsy’s inventory based on categorical, stylistic, or thematic similarity
Develop models with custom architecture or objective functions that target Etsy-specific problems, including but not limited to personalized ranking, revenue optimization, seller fairness, and seasonality
Work closely with software engineers, data scientists, product managers, and designers
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.
Qualifications
Qualities that will help you thrive in this role are:
Successful track record of applying machine learning techniques in addressing real-world problems
Experience with / working in one of the following fields: reinforcement learning, deep learning, or computer vision
Shown success developing productionized machine learning systems. You are comfortable with using git, docker, and other tools for writing robust, production-ready code
Ability to write and manipulate data at a large scale, in distributed environments
Preferred requirements:
An M.S. or Ph.D. degree in Computer Science or related engineering fields, or 3+ years of practical machine learning experience
Experience using Google Cloud Platform
Experience in building production search, recommendations, advertising, knowledge base (structured data), or general e-commerce systems.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please send a cover letter and resume telling us why you'd be right for the position. As you've hopefully 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 write to us and tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace makes us a more relevant, more competitive, and more resilient company. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skillsets.
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.