Sr Applied Scientist, Amazon Supply Chain

What you'll do

• Build models for forecasting, inventory optimization, anomaly detection, and supply chain decisions; lead GenAI and Agentic AI workflow solutions.
• Lead applied science projects from problem formulation and experimentation through evaluation, testing, and production deployment.
• Publish research, mentor scientists, collaborate across teams, and shape the scientific roadmap and responsible AI practices.

What they ask for

• PhD or equivalent research experience.
• 6+ years of building machine learning models for business application experience.
• Knowledge of programming languages such as C/C++, Python, Java or Perl.
• Experience training and deploying machine learning systems for large-scale optimization, or software development; peer-reviewed scientific contributions in premier journals and conferences.

Nice to have

• Experience in machine learning, data mining, information retrieval, statistics, natural language processing, or deploying LLMs in production on AI acceleration hardware.
• Supply chain knowledge or experience; 5+ years building large-scale machine learning and AI solutions at Internet scale; practical ML experience solving complex large-scale problems.

Pay

167,100.00 - 226,100.00 USD annually (base salary)

Tools

C/C++, Python, Java, Perl, LLMs, GPUs, Neuron, TPU

AI focus

Builds machine learning, generative AI, and agentic AI systems for supply chain forecasting, optimization, anomaly detection, decisions, and workflow automation.