Applied Scientist I, ALX SIERRA
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About The Position
Amazon Leadership eXperiences (ALX) Science's mission is to develop science that shapes human behavior in managing Amazon's talent. We develop the core science for all Amazon-wide talent management and development experiences. Our multidisciplinary science team comprises of applied scientists, data scientists, economists and research scientists. We partner closely with product teams to build scalable science solutions that work backwards from internal customer problems for all of Amazon's businesses and locations around the world. Some of our work includes GenAI-powered writing assistance and insights, talent development and matching recommendations, experimentation and north star metrics, predictive and root cause models for talent events, voice of the customer qualitative analyses frameworks, and talent evaluation framework research. We are looking for an AI/ML scientist who has experience building, applying and customizing GenAI and traditional ML solutions to solve customer problems. Techniques we use on the team include NLP, supervised and unsupervised learning, recommendation systems, machine learning on graphs, reinforcement learning, algorithmic fairness and others on rich and novel datasets. As an applied scientist on the team, you will develop AI/ML solutions that handle Amazon-scale use cases and have a significant impact on our employees' lives. You will have the opportunity to work on exciting problems, publish and patent your work in one of the most high impact and innovative applications of science in the People Experience and Technology space. The role has high visibility to senior Amazon business leaders and involves working with other scientists, and partnering with engineering and product teams to integrate these models into production systems. If this kind of work excites you, reach out to us to find out more!
