Senior Applied Scientist I, Recommendations Ranking

. Work with software engineers, data scientists, product managers, and designers to set the technical direction of Etsy’s recommendation system .

Posted 9/25/2026full-timeBrooklyn • New York • United StatesSenior💰 $182,000 - $246,000 per yearWebsite

Tools & technologies

PythonPyTorchScalaTensorflow

Key responsibilities & impact

Work with software engineers, data scientists, product managers, and designers to set the technical direction of Etsy’s recommendation system
Apply machine learning advances to improve buyer and seller experiences
Build user models to understand buyers’ interests, tastes, and shopping missions
Develop personalized ranking, multi-objective optimization, and diversity-constraint models
Design foresight and intent prediction models for future buyer needs and lifecycle transitions
Improve feed reactivity and freshness based on user actions, trends, and seasonal shifts
Prototype, optimize, and productionize large-scale machine learning models
Conduct experiments, including A/B testing, to validate ML models and pipelines
Report to the Engineering Manager
Perform additional duties as assigned and adapt responsibilities as business needs change

What you’ll need

Successful track record applying machine learning techniques to real-world problems
Experience in deep learning, multi-modal learning, reinforcement learning, or similar fields
Hands-on experience training, deploying, monitoring, debugging, and iterating on production machine learning systems in search, recommendation, and/or ads systems
Production experience developing large-scale machine learning systems in Python, Scala, PyTorch, TensorFlow, or similar languages
Ability to write understandable and testable code
Ability to write and manipulate data at large scale
M.S. or Ph.D. degree in Computer Science or related engineering fields
At least two years of practical machine learning experience
Ability to work within the role's stated hybrid arrangement and attend the Brooklyn office once or twice per week when within commuting distance

Comp & perks