Amazon Applied Science Manager Creators 

United States, Washington, Seattle 

796404708

Key job responsibilities
As an Applied Science Manager you will:
* Lead and grow a team of Applied Scientists, Economists, and Data Scientists working to solve complex problems in creator services and engagement
* Define and execute on the science vision for the team, working backwards from creator needs to translate product ideas into concrete deliverables
* Drive the development of scalable machine learning solutions that support flexible earnings programs and help optimize creator success
* Partner with engineering teams to implement production-ready scientific solutions
* Recruit, mentor, and develop top scientific talent
* Foster a culture of innovation while maintaining high scientific standards
* Review and provide guidance on experimental design, methodology, and implementationA day in the life
* Start your day reviewing key metrics and experimental results with your team
* Participate in design reviews for new models used in products such as creator compensation, content generation, or risk identification
* Meet with product managers to align on roadmap priorities and scientific requirements
* Provide technical mentorship to team members on their projects
* Review and give feedback on scientific documentation and methodology
* Collaborate with engineering partners on implementation approaches
* Lead team meetings focused on scientific innovation and best practices
* Engage with the broader Amazon science community to share learnings and stay current with latest developmentsAbout the team* Creator Success: We develop and implement ML solutions to help creators understand and improve their performance through data-driven insights* Innovation in Content Creation: We develop and evaluate tools that help creators produce engaging content more efficiently, incorporating responsible AI technology to enhance creator productivity
* Measurement Sciences: We advance experimental design methodologies to better understand the impact of new features and programs, helping inform data-driven business decisions
* Creator Compensation: Our team works to enhance earning opportunities by developing effective incentive programs

- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 3+ years of applied research experience
- 2+ years of scientists or machine learning engineers management experience
- 3+ years of building machine learning models or developing algorithms for business application experience

- Knowledge of machine learning approaches and algorithms
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- Experience hiring and growing top talent
- Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs