Key skills
AIMachine LearningML
About this role
Amazon is seeking exceptional applied science talent to develop AI and machine learning systems for advanced manufacturing capabilities. As a Senior Applied Scientist, you will develop and improve machine learning systems for real-time manufacturing flow decisions while collaborating with various engineering and operations teams.
Responsibilities:
- Identify and devise new scientific approaches for constraint identification, dispatch optimization, WIP release control, and predictive flow intelligence when the problem is ill-defined and new methodologies need to be invented
- Lead the design, implementation, and successful delivery of scientifically complex solutions for real-time manufacturing flow optimization in production
- Design and build ML models and optimization algorithms including constraint prediction, starvation risk forecasting, and dispatch optimization
- Write a significant portion of critical-path scientific code with solutions that are inventive, maintainable, scalable, and extensible
- Execute rapid, rigorous experimentation with reproducible results, closing the gap between simulation and real manufacturing environments
- Build evaluation benchmarks that measure model performance against manufacturing outcomes including constraint utilization and throughput rather than traditional ML metrics alone
- Influence your team's science and business strategy through insightful contributions to roadmaps, goals, and priorities
- Partner with manufacturing engineering, robotics simulation, and applied intelligence teams to ensure scientific approaches are grounded in operational reality
- Drive your team's scientific agenda and role model publishing of research results at peer-reviewed venues when appropriate and not precluded by business considerations
- Actively participate in hiring and mentor other scientists, improving their skills and ability to deliver
- Write clear narratives and documentation describing scientific solutions and design choices