Applied Scientist: Supply Chain AI & GenAI | Flexible Hours

Amazon Science

Seattle (WA)

On-site

USD 143,000 - 193,000

Full time

12 days ago

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Job summary

Amazon Science in Seattle, WA, is seeking an Applied Scientist to design and deploy state-of-the-art ML models for demand forecasting, inventory optimization, anomaly detection, and GenAI-powered solutions that automate supply chain workflows. You will translate research into production systems at global scale, working with Spark, AWS services, and a strong emphasis on responsible AI.

This role blends research with real-world product impact, offering mentorship, publication opportunities, and

Qualifications

PhD in computer science, computer engineering, or related field.
Experience applying theoretical models in an applied environment.
Experience implementing algorithms using toolkits and self-developed code.
Experience building ML models or developing algorithms for business applications.
Experience with generative AI, large language models (LLMs), or agentic AI systems.

Responsibilities

Design, develop, and deploy ML models for demand forecasting and inventory optimization.
Contribute to GenAI and Agentic AI solutions that automate supply chain workflows.
Formulate business problems as ML problems with data requirements and evaluation plans.
Drive end-to-end projects from prototyping to production deployment.
Publish research in top conferences and contribute to patent filings.