Job Description
DESCRIPTION
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!
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 GenAI models at the scale of Amazon
About the team
ALX Science is an experienced central interdisciplinary organization of scientists spanning machine learning, economics and research that builds science models for Amazon's worldwide employee-facing talent management products, designs and supports experiments for product features, and measures impact of product and program initiatives across the broader organization. Examples of our work include GenAI-powered summarization and writing assistants, content and people recommendation systems, scalable experimentation products and measuring organizational north star metrics.
BASIC QUALIFICATIONS
- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
Job Tags
Full time, Worldwide,