1 day ago
Applied Scientist I, ALX SIERRA
US, WA, Seattle
Amazon’s global talent is incredibly complex with unique problems to be solved for each line of business. Amazonian Leadership eXperiences (ALX) is centrally responsible for managing and evolving Amazon’s human capital through intelligent talent products and processes. ALX Science is a growing interdisciplinary science team within ALX that develops science products and services to facilitate Amazon’s growth and development of talent across all of our businesses and locations around the world.
Our vision in ALX Science is to use machine learning and Generative AI to scalably solve organizational challenges focused on talent movement, talent differentiation, employee-role matching, promotion processes, organizational design and succession planning, diversity and inclusion, and new areas that address the evolving needs of our diverse employee base.
We are looking for an experienced ML/AI scientist to work on talent science products that draw from a range of fields such as algorithmic fairness, natural language processing, supervised and unsupervised learning, recommendation systems, machine learning on graphs, reinforcement learning and others on rich and novel datasets. 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.
As an applied scientist in ALX Science, you will have the opportunity to work on exciting problems in one of the most innovative applications of science in the People Experience and Technology space. You will help to solve high impact business problems, and be encouraged to patent and publish your contributions. If this kind of work excites you, reach out to us to find out more!
Key job responsibilities
· Design and implement models, science-based product ideas and features, project plans and communicate with stakeholders.
· Develop fair predictive models to understand important business and people-centered outcomes
· Productionize ML and science models at the scale of Amazon
Our vision in ALX Science is to use machine learning and Generative AI to scalably solve organizational challenges focused on talent movement, talent differentiation, employee-role matching, promotion processes, organizational design and succession planning, diversity and inclusion, and new areas that address the evolving needs of our diverse employee base.
We are looking for an experienced ML/AI scientist to work on talent science products that draw from a range of fields such as algorithmic fairness, natural language processing, supervised and unsupervised learning, recommendation systems, machine learning on graphs, reinforcement learning and others on rich and novel datasets. 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.
As an applied scientist in ALX Science, you will have the opportunity to work on exciting problems in one of the most innovative applications of science in the People Experience and Technology space. You will help to solve high impact business problems, and be encouraged to patent and publish your contributions. If this kind of work excites you, reach out to us to find out more!
Key job responsibilities
· Design and implement models, science-based product ideas and features, project plans and communicate with stakeholders.
· Develop fair predictive models to understand important business and people-centered outcomes
· Productionize ML and science models at the scale of Amazon