What you'll do

Design and deploy large-scale optimization and forecasting models that plan inventory placement and flow across our EU/NA fulfillment network under uncertainty

Shape how the full network problem is decomposed and coordinated, defining the mathematical architecture of the planning system rather than just the models within it

Push the computational frontier through formulations that solve fast and reliably at scale, and through the solver technology and tooling that make experimentation cheap

Work with science, engineering, operations, and finance partners to take ideas from whiteboard to production, then own them end to end once live

What we're looking for

An experienced scientist with depth in large-scale optimization (stochastic optimization and decomposition methods especially welcome), fluency in machine learning and probabilistic forecasting, and a track record of delivering complex scientific systems end to end. You care about both the elegance of a formulation and whether it solves in two seconds or two hundred, and you're energized by delivering incremental wins while building toward a long-term scientific vision.

If you want your optimization theory to move real inventory at planetary scale, this is the team.

Key job responsibilities

Build state-of-the-art, robust, and scalable stochastic optimization and probabilistic forecasting algorithms that drive optimal planning and execution under uncertainty across Amazon's end-to-end supply chain

Shape how large-scale planning problems are formulated, decomposed, and solved - designing for computational performance and reliability at the scale of Amazon's fulfillment network

Engineer your algorithms as production-grade, cloud-native software, applying modern development practices from prototype through deployment

Think several steps ahead: architect long-term scientific solutions while continuously shipping incremental improvements to what's already running

Prototype fast, drive early adoption through pilots, integrate operational feedback, and iterate

Deliver your science into production by partnering closely with internal customers - understanding their needs and blockers, and influencing their roadmaps

Lead complex analyses and communicate results and recommendations crisply to senior leadership

Stay at the frontier as an active member of the science community: research, apply, and publish (internally and externally) the latest OR/ML techniques from academia and industry

About the team

We are a team of scientists and engineers who believe that some of the hardest optimization problems in the world are hiding inside everyday questions like "where should this product sit so a customer gets it tomorrow?" We take ideas from the frontier of operations research and machine learning - distributed optimization, planning under uncertainty, solving at massive scale - and turn them into systems that steer one of the largest supply chains on Earth. If a model we ship on Monday moves millions of units by Friday, that's a normal week; that loop between theory and the physical world is why we're here.

BASIC QUALIFICATIONS

- 3+ years of building models for business application experience

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

- Experience in patents or publications at top-tier peer-reviewed conferences or journals

- Experience programming in Java, C++, Python or related language

- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

PREFERRED QUALIFICATIONS

- Experience using Unix/Linux

- Experience in professional software development

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, NY, New York - 172,400.00 - 223,400.00 USD annually