Applied Scientist, One MHS
Pubblicato il 02-10-2026 - Amazon in Asti
Applied Scientist, One MHS - Software, Controls, Science
Job ID: 10542919 | Amazon.com Services LLC
As an Applied Scientist, you will collaborate closely with other scientists and engineers to bring optimization and sequential decision-making research to production. This role combines the scientific application of ML, and specifically optimization, RL, and sequential decision making, with software development engineering and a strong product focus. It will be your job to design, implement, and deploy novel decision policies and optimization models in both prototype and production environments, and to prove their impact through rigorous evaluation and simulation before scaling them across the fleet.
Key job responsibilities
- Own the research and development of optimization and sequential decision-making solutions spanning constraint programming, stochastic and robust optimization, contextual bandits, and reinforcement learning for real-time MHE control and scheduling optimization in a production environment.
- Formulate fulfillment operations and manufacturing scheduling problems (production scheduling, resource allocation, sorter optimization, throughput and congestion control) as optimization or sequential decision-making problems, and design multi-objective functions that balance competing operational objectives such as on-time delivery, utilization, changeover cost, and schedule stability.
- Build and leverage high-fidelity simulation and emulation environments for safe offline training, policy validation, and transfer to live systems before fleet-scale deployment.
- Collaborate across multiple science and engineering teams to integrate policies into production planning and real-time control systems, including monitoring, guardrails, and staged rollout.
- Communicate results and their limitations clearly in writing to technical and business audiences, and contribute to the team's external research presence through publication where the work merits it.
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