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Etsy, Inc. Senior Applied Scientist I in Brooklyn, New York

TITLE: Senior Applied Scientist IJOB DUTIES: Develop custom machine-learning models that can drive product vision and customer impact. Produce ML innovations in the areas of Ranking, Recommendations, Computer Vision, Natural Language Processing, Information Retrieval, and Computational Advertising to help improve the Etsy buyer/seller experience. Develop state-of-the-art embeddings to capture salient signals of our users and listings, including aspects like content, function, budget, and preferences. Implement and compare supervised learning models (LR, GBDT, and DNNs), or ensembles of models, to improve key metrics, often with multiple competing objectives. Develop models with custom architecture or objective functions that target Etsy-specific problems, such as revenue optimization, ads bidding strategies, ads budget pacing, seller fairness, seasonality, multi-objective optimization, etc. Push the state of the art and apply the latest advances in deep learning and machine learning to improve buyer and seller experiences on Etsy. Prototype, optimize, and productionize large-scale ML models that help deliver key results. Conduct A/B experiments to validate the effectiveness of ML models and pipelines. Work closely with product managers, ML engineers, full-stack engineers, and designers on product teams to deliver content to tens of millions of users. Share impactful and innovative work in the wider ML research community, including presenting at top-tier ML/DS conferences such as: KDD, WSDM, WWW, Recsys, etc. You have solid software development skills. You are comfortable with using git, Linux environments, dockers, and other tools for writing robust, production-ready code. [Ref# 544610]REQUIREMENTS: Master’s degree in Computer Science, Data Science or a related field plus 2 years of experience in Software Engineering/Development with focus on Data Science or Machine Learning. Must have 2 years of experience with the following: Machine Learning modelling techniques such as regression and classification algorithms (Logistic and Linear Regression, Gradient Boosted Decision Trees, and Deep Neural Networks); productionalizing, deploying, and training machine learning/deep learning models; Big data technologies (Hadoop/Scalding/Spark) to process and analyze large amounts of data; working with Product Managers and other Data Scientists/Machine Learning Engineers to deliver ML based solutions; Machine Learning work within Cloud services (such as AWS, GCP, Azure, etc); and expertise in one of the following fields: natural language processing, reinforcement learning, deep learning, or computer vision. Telecommuting (Remote work) is available for the position.HOURS:Monday through Friday, 40 hours per weekLOCATION:Brooklyn, New YorkSALARY:$164,000 - $192,000 per yearAPPLICANTS: Email resume to Reference code required when applying: REF# 544610