Sr. Applied Science Manager, AWS Specialist Prototyping Team

Overview

In this role you guide the science direction for an applied science team focused on emerging technologies. You will manage prototyping engagements that address complex, high-ambiguity problems for customers, driving real-world experimentation and rapid learning. You provide technical and scientific leadership in areas like large language models, generative multimodal models, and computer vision, while recruiting and mentoring scientists to scale impact. You work with cross-functional teams to transform business challenges into innovative AWS solutions.

Pay / Benefits

• mentorship and career growth
• flexible work culture
• learning experiences and events
• inclusive team culture
• diverse experiences

Responsibilities

• Define science direction for the team on emerging tech with high-impact customer use cases
• Serve as engagement manager for prototyping projects: sourcing, qualifying, scoping, executing, delivering, transitioning
• Lead science prototypes with ambiguity, scale, and complexity
• Provide technical and science leadership in LLMs, generative multimodal models, and computer vision
• Recruit, mentor and develop Applied Scientists
• Establish team mechanisms, including planning, reviews, and documentation

Key requirements

• Experience in science or engineering team management
• Experience distilling informal customer requirements into problem definitions and managing ambiguity
• Experience applying ML to solve complex, large-scale problems
• Master’s degree in Computer Science (ML, AI, Statistics, or equivalent)
• Experience with machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, NLP or related applications
• Experience improving customer experience or business value from research outcomes
• Experience hiring and mentoring scientists and developing junior members
• Customer-facing experience engaging with executives, technologists or partners to solve problems with advanced technologies

• leadership and people management
• effective communication and storytelling
• collaboration across teams
• machine learning
• reinforcement learning
• deep learning

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