Applied Scientist, AI Ops & Autonomous Supply Chain

Amazon; Dublin; On-site; EUR 150,000 - 190,000; Full time

Job summary

Amazon seeks an Applied Scientist to fuse state-of-the-art ML/AI with autonomous AI capabilities to optimize complex supply chain operations. You will build autonomous systems that understand, reason about, and improve decisions across Amazon's global operations and logistics.

In this role you will prototype ideas into production-scale solutions, collaborate with stakeholders to prioritize high-value automation, and mentor junior engineers while upholding engineering excellence in AI/ML

Qualifications

• PhD or Master's degree in CS, CE or ML or related field.
• Experience in building models for business applications.
• Experience in patents or publications at top-tier conferences or journals.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Responsibilities

• Lead the development of innovative ML and AI solutions for supply chain and operations
• Rapidly prototype and validate new ideas through minimum lovable products (MLPs)
• Transform promising prototypes into production-ready systems at global scale
• Collaborate with business stakeholders to identify and prioritize high-value automation opportunities
• Mentor junior members and promote engineering excellence in AI/ML practices

Skills

ML/AI modeling

Production-scale systems

Problem solving

Team mentorship

Education

PhD or MS in CS/CE/ML

Tools

Java

C++

Python

Job description

Amazon seeks an Applied Scientist to fuse state-of-the-art ML/AI with autonomous AI capabilities to optimize complex supply chain operations. You will build autonomous systems that understand, reason about, and improve decisions across Amazon's global operations and logistics.

In this role you will prototype ideas into production-scale solutions, collaborate with stakeholders to prioritize high-value automation, and mentor junior engineers while upholding engineering excellence in AI/ML