Staff Applied Scientist, Etsy

• 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

Desirable

• Initiate and lead a new track of works to enhance the capability of candidate generation for Etsy’ 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