Applied Scientist: Generative AI for Operations

Amazon

Factoria (WA)

On-site

USD 136,000 - 184,000

Full time

12 days ago

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Job summary

Amazon is seeking an Applied Scientist to drive operational excellence of ML models within North American Operations. You will design, build, and deploy production-grade models integrated across Amazon systems to improve safety and productivity.

You will collaborate with Data Scientists, Economists, and Engineers to create explainable AI, develop evaluation frameworks, and own projects from scoping to production launches, delivering impact across Operations and Finance.

Qualifications

  • Master's degree or higher in computer science, machine learning, engineering, or related fields.
  • Experience programming in Java, C++, Python or related language.
  • Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.
  • Experience in building machine learning models for business application.

Responsibilities

  • Interfacing with stakeholders to understand business problems and translating these into high and low-level design documents.
  • Architecting, building, and deploying production-grade models to cloud-native environments, incorporating CI/CD best practices.
  • Designing AI systems to provide model explainability, as well as automate customer workflows.
  • Developing evaluation frameworks for models that identify quality regressions before customers do.

Skills

Problem solving
Communication

Education

Master's degree or higher in CS/ML/Engineering

Tools

Java
C++
Python
SQL
Oracle
Data Warehouse

Job description

Amazon is seeking an Applied Scientist to drive operational excellence of ML models within North American Operations. You will design, build, and deploy production-grade models integrated across Amazon systems to improve safety and productivity.

You will collaborate with Data Scientists, Economists, and Engineers to create explainable AI, develop evaluation frameworks, and own projects from scoping to production launches, delivering impact across Operations and Finance.

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