STAFF DATA SCIENTIST I

Etsy, Inc.; New York (NY); Hybrid; USD 218,000 - 257,000; Full time

Job summary

Join Etsy as a Staff Applied Scientist, where you'll lead ML innovations in areas like Recommendations, NLP, and Deep Learning. Collaborate with engineers and data scientists to create impactful solutions while working in a diverse and inclusive environment. This full-time role offers competitive compensation, equity opportunities, and the ability to work on meaningful challenges.

Benefits

Equity package

Annual performance bonus

Comprehensive benefits for families

Qualifications

• 5+ years of practical machine learning experience.
• Extensive experience across the entire ML stack.
• Proven success in developing productionized ML solutions.

Responsibilities

• Lead new ML projects for recommendations systems.
• Develop models to enhance user experiences on Etsy.
• Mentor applied scientists in their projects.

Skills

Deep Learning

Natural Language Processing

Representation Learning

Clustering

Optimization

Graph Learning

Reinforcement Learning

Data Manipulation

Machine Learning Solutions

Education

M.S. or Ph.D. in Computer Science

Tools

Git

Docker

Airflow

Google Cloud Platform

Spark Scala

Kubeflow

TensorFlow

Job 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, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.

Salary Range :

218,000.00 - $257,000.00

Whats the role?

As a Staff Applied Scientist, you will be responsible for initiating and delivering new solutions for the domain application of Recommendations. We are looking for individuals who are product & technology driven, and are passionate about making ML innovations in areas such as : Natural Language Processing, Representation Learning, Clustering, Optimization, Deep Learning, Graph Learning, and Reinforcement Learning to help improve the Etsy buyer / seller experience!

This is a full-time position reporting to the Engineering Manager. 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 United States. Candidates living within commutable distance of Etsys Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our work modes and workplace safety policies here .

Whats 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. We are looking for an experienced machine learning scientist who can help build Etsys next generation capabilities for the candidate generation.

What does the day-to-day look like?

• Initiate and lead a new track of works to enhance the capability of candidate generation for Etsys Recommendation engine.
• Develop innovative representations to capture salient signals of our users and listings, including aspects like content, function, budget, and preferences.
• Develop models with custom architecture or objective functions that target Etsy-specific problems, including but not limited to personalized retrieval, ranking, revenue optimization, seller fairness, and seasonality.
• Mentor other applied scientists and guide them during their projects.
• Work closely and collaboratively 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.

Qualities that will help you thrive in this role are :

• Successful track record of applying deep learning machine learning techniques in addressing real-world problems and looking for opportunities to make impacts.
• Have extensive experience with machine learning and deep learning solutions across the entire machine learning stack, from data collection to evaluation.
• Ability to take on and lead unconstrained problems and know when to seek help and how to deliver.
• Ability to write and manipulate data at a large scale, in distributed environment.
• Shown success in developing productionized machine learning solutions. You are comfortable with using git, docker, airflow, and other tools for developing robust, production-ready code.
• Have strong verbal and written communication skills.
• An M.S. or Ph.D. degree in Computer Science or related fields, with 5+ years of practical machine learning experience.
• Experience using Google Cloud Platform.
• Experience in representation learning.
• Experience in Approximate-Nearest-Neighbor (ANN) search.
• Experience in building production search, recommendations, advertising, knowledge base (structured data), or general e-commerce systems.
• Experience using following frameworks : Spark Scala, Airflow, Kubflow, Tensorflow.

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.

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. 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.

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