Staff Applied Scientist I

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?

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 for Recommendations Systems. We are looking for individuals who are product & technology driven, and are passionate about making ML innovations in areas such as: Ranking, Optimization, Deep Learning, and Reinforcement Learning to help improve the Etsy buyer/seller search experience!

This is a full-time position reporting to the Manager of Engineering and the base salary range will be $196,000 - $230,000 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. 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?

• Initiate and lead new tracks of work to enhance ranking capabilities of Etsy’s Recommendation engine.

• Develop innovative ML ranking models that optimize for various business goals to power recommendations at scale.  

• Build models that allow us to better understand the unique interests, tastes, and shopping mission of Etsy’s buyers.

• Develop models with custom architectures or objective functions that target Etsy-specific problems, including but not limited to revenue optimization, seller fairness, and seasonality.

• Mentor other Applied Scientists and Engineers and guide them on their projects.

• 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 to address real-world problems.

• Experience with / working in one of the following fields: deep learning, uplift modeling, fairness in recommender systems, reinforcement learning. 

• 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.

• A Ph.D. degree in Computer Science or related engineering fields with 4+ years of practical machine learning experience or an M.S. degree in Computer Science or related engineering field with 6+ years of practical machine learning experience.

• Experience in Deep Learning.

• Experience using Scala Spark, Airflow, and Tensorflow.

• Experience using Google Cloud Platform tools (GCP).

• Experience in building production recommendations, search, or advertising systems.

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.