Applied Scientist, Amazon Supply Chain

As part of the AWS Applied AI Solutions organization, we are building enterprise applications that leverage Amazon's unique experience and expertise to help millions of companies worldwide manage day-to-day operations. We blend vision with curiosity and real-world operational experience to create opinionated, turnkey solutions that make the 'buy versus build' decision a no-brainer for our customers.

About the role

We are looking for an Applied Scientist to join our team building revolutionary enterprise applications that use machine learning, generative AI, and agentic AI to solve enduring supply chain challenges. You will design and develop state-of-the-art models and algorithms that power intelligent supply chain applications at global scale, working at the intersection of research and real-world product impact.

Responsibilities

• Design, develop, and deploy machine learning models for demand forecasting, inventory optimization, anomaly detection, and supply chain decision-making, with guidance from senior scientists on novel problem spaces.
• Contribute to GenAI and Agentic AI solutions that automate supply chain workflows; implement model components, pipelines, and evaluation harnesses.
• Formulate well-scoped business problems as ML problems; define data requirements, model architectures, evaluation metrics, and experimentation plans.
• Drive applied science projects end-to-end — from prototyping through offline evaluation, A/B testing, and production deployment — with increasing autonomy.
• Publish research in top-tier conferences (NeurIPS, ICML, KDD, AAAI) and contribute to patent filings.
• Raise the technical bar through code reviews, design feedback, and knowledge-sharing sessions.
• Collaborate with engineering, product, and business stakeholders to translate scientific capabilities into customer-facing features; communicate results to technical and non-technical audiences.
• Stay current with state-of-the-art AI/ML research; identify and propose opportunities to apply emerging techniques to existing problems.
• Follow and contribute to best practices for experimentation, model validation, and responsible AI development.

About the team

The AWS Applied AI Solutions team builds enterprise applications that leverage Amazon's operational expertise to solve real-world supply chain challenges for millions of companies. We operate like a startup within AWS—moving fast, shipping iteratively using state-of-the-art AI technologies. We invest in your growth through mentorship from senior scientists, conference publication support, and internal science reading groups.

Qualifications

Basic Qualifications

• PhD in computer science, computer engineering, or related field.
• Experience applying theoretical models in an applied environment.
• Experience implementing algorithms using both toolkits and self-developed code.
• Experience building machine learning models or developing algorithms for business application.
• Experience with or exposure to generative AI, large language models (LLMs), or agentic AI systems (e.g., multi-step reasoning, tool-use, autonomous workflow orchestration).

Preferred Qualifications

• Experience with demand forecasting, time-series modeling, or supply chain optimization.
• Hands-on experience building agentic AI pipelines — including prompt engineering, retrieval-augmented generation (RAG), and multi-agent orchestration.
• Experience designing and analyzing A/B tests at scale.
• Demonstrated ability to translate ambiguous business problems into well-defined ML solutions.
• Publications in top-tier conferences (NeurIPS, ICML, KDD, AAAI) or equivalent venues.
• Experience working with large-scale distributed systems (e.g., Spark, AWS services).
• Strong written and verbal communication skills; ability to present technical work to non-technical stakeholders.

Benefits

• Comprehensive health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans).
• Employee Assistance Program (EAP), Mental Health Support, Medical Advice Line.
• Flexible Spending Accounts.
• Adoption and Surrogacy Reimbursement coverage.
• 401(k) matching.
• Paid time off and parental leave.
• Sign-on payments and restricted stock units (RSUs).

Pay

USA, WA, Seattle - $142,800.00 - $193,200.00 USD annually.