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Applied Scientist I Jobs
Company | Etsy |
Address | Brooklyn, NY, United States |
Employment type | FULL_TIME |
Salary | |
Category | Software Development |
Expires | 2023-06-01 |
Posted at | 1 year ago |
Company Description
- Develop models with custom architectures or objective functions that target Etsy-specific problems, including but not limited to revenue optimization, seller fairness, and seasonality.
- Work closely with software engineers, data scientists, applied scientists, product managers, and designers.
- Initiate and lead new tracks of work to enhance ranking capabilities of Etsy’s Recommendation engine.
- Build models that allow us to better understand the unique interests, tastes, and shopping mission of Etsy’s buyers.
- Develop innovative ML ranking models that optimize for various business goals to power recommendations at scale.
- 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.
- Ability to take on and lead unconstrained problems and know when to seek help and how to deliver.
- Strong verbal and written communication skills.
- 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.
- Ability to write code and manipulate data at a large scale, in distributed environments.
- Shown success developing productionized machine learning systems. You are comfortable with using git, docker, and other tools for writing robust, production-ready code.
- Experience using Google Cloud Platform tools (GCP).
- A Ph.D. degree in Computer Science or related engineering fields with 1+ years of practical machine learning experience or an M.S. degree in Computer Science or related engineering field with 3+ years of practical machine learning experience.
- Experience using Scala Spark, Airflow, and Tensorflow.
- Experience in Deep Learning.
- Experience in building production recommendations, search, or advertising systems.
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