Senior Applied Science Manager

Who you are

• Experience in science or engineering team management
• Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
• Experience in practical work applying ML to solve complex problems for large scale applications
• Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)
• PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
• Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications
• Experience managing and quantifying improvements in customer experience or value for the business resulting from research outcomes
• Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track
• Experience in a customer-facing role, engaging with customer executives, technologists or partners to solve business problems with advanced technologies

What the job involves

• A Sr Applied Science Manager in the AWS Specialist Prototyping team sets the science direction for the team on emerging tech that represents the most innovative and challenging use cases for our customers
• They ensure the success of this unique customer facing applied science execution team by serving as the engagement manager responsible for sourcing, qualifying, scoping, executing, delivering and transitioning Prototyping engagements
• They drive science prototypes that have a high degree of ambiguity, scale and complexity
• They provide technical and science leadership related to large language models, generative multi-modal models and computer vision
• They recruit high performing Applied Scientists to the team and provide mentorship
• They establish team mechanisms, including team building, planning, and document reviews