Applied Scientist: Real-Time Optimization & RL for MHE

Amazon Inc.; Asti; Ibrido; EUR 126.000 - 170.000; Tempo pieno

Descrizione del lavoro

Amazon.com Services LLC is seeking an Applied Scientist to advance optimization and sequential decision-making for real-time MHE control and scheduling within the One MHS team. You will design, implement, and deploy novel policies and optimization models in prototype and production environments, and evaluate impact through rigorous simulations.

Collaborate with scientists and engineers across teams, translate research into production-ready software, and contribute to publications when

Competenze

• PhD in OR/Statistics/Applied Math or related field.
• Experience with optimization and reinforcement learning methods.

Mansioni

• Own research and development of optimization and sequential decision-making solutions for production environments.
• Build high-fidelity simulation environments for offline training and validation.
• Collaborate across science and engineering teams to deploy policies into production planning and real-time control systems.

Conoscenze

Machine Learning

Optimization

Reinforcement Learning

Python

End-to-end ownership

Formazione

PhD in Operations Research / Statistics / Applied Mathematics / Engineering / Computer Science

Strumenti

PyTorch

d3rlpy

Ray/RLlib

Gymnasium

Stable-Baselines3

Isaac Gym/Omniverse

Descrizione del lavoro

Amazon.com Services LLC is seeking an Applied Scientist to advance optimization and sequential decision-making for real-time MHE control and scheduling within the One MHS team. You will design, implement, and deploy novel policies and optimization models in prototype and production environments, and evaluate impact through rigorous simulations.

Collaborate with scientists and engineers across teams, translate research into production-ready software, and contribute to publications when