The Amazon Fulfillment Technologies (AFT) Science team is seeking an exceptional Applied Scientist with strong operations research and optimization expertise to develop production solutions for one of the most complex systems in the world: Amazon's Fulfillment Network.
At AFT Science, we design, build, and deploy optimization, statistics, machine learning, and GenAI/LLM solutions that power production systems running across Amazon Fulfillment Centers worldwide. We tackle a wide range of challenges throughout the network, including labor planning and staffing, pick scheduling, stow guidance, and capacity risk management. Our mission is to develop innovative, scalable, and reliable science-driven production solutions that exceed the published state of the art, enabling systems to run optimally and continuously (from every few minutes to every few hours) across our large-scale network.
Key job responsibilities As an Applied Scientist, you will collaborate with scientists, software engineers, product managers, and operations leaders to develop optimization-driven solutions that directly impact process efficiency and associate experience in the fulfillment network.
Your key responsibilities include:
- Develop deep understanding and domain knowledge of operational processes, system architecture, and business requirements
- Dive deep into data and code to identify opportunities for continuous improvement and disruptive new approaches
- Design and develop scalable mathematical models for production systems to derive optimal or near-optimal solutions for existing and emerging challenges
- Create prototypes and simulations for agile experimentation of proposed solutions
- Advocate for technical solutions with business stakeholders, engineering teams, and senior leadership
- Partner with software engineers to integrate prototypes into production systems
- Design and execute experiments to test new or incremental solutions launched in production
- Build and monitor metrics to track solution performance and business impact
About the team Amazon Fulfillment Technology (AFT) designs, develops, and operates end-to-end fulfillment technology solutions for all Amazon Fulfillment Centers (FCs). We harmonize the physical and virtual worlds so Amazon customers can get what they want, when they want it.
The AFT Science team brings expertise in operations research, optimization, statistics, machine learning, and GenAI/LLM, combined with deep domain knowledge of operational processes within FCs and their unique challenges. We prioritize advancements that support AFT tech teams and focus areas rather than specific fields of research or individual business partners. We influence each stage of innovation from inception to deployment, which includes both developing novel solutions and improving existing approaches. Our production systems rely on a diverse set of technologies, and our teams invest in multiple specialties as the needs of each focus area evolve.
Basic Qualifications
- PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience
- 3+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language
- Relevant industry applied research experience in operations research, optimization, ML/AI, statistics, or an equivalent field
Preferred Qualifications
- Experience in data analysis and leveraging analytics to make decisions
- PhD with industry applied research experience and expertise in Operations Research, Optimization, ML/AI, Statistics, or an equivalent field
- Experience with labor planning and staffing optimization problems
- Proven track record of translating research into production systems and deploying production-grade code
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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, WA, Bellevue - 142,800.00 - 193,200.00 USD annually