Machine Learning Engineer, Workforce Intelligence powered by Scientific Engineering

Amazon's WISE (Workforce Intelligence powered by Scientific Engineering) team is seeking a Machine Learning Engineer to join their ML/AI team focusing on Advanced Optimization and LLM solutions. This role is crucial in developing the scientific and engineering foundation that powers Amazon's enterprise-wide workforce planning ecosystem. The position involves working with Applied Scientists, Software Engineers, and other team members to create world-class solutions for workforce planning and organizational structure optimization.

The role offers an opportunity to work on cutting-edge ML/AI applications while having end-to-end ownership of operational and technical aspects. You'll be instrumental in defining data strategies, enrichment processes, and model optimizations that will set new industry standards. The position requires strong technical skills in machine learning, software development, and system architecture, combined with the ability to work effectively with stakeholders and balance business needs against technical constraints.

This is an excellent opportunity for someone passionate about applying ML/AI to solve complex workforce planning challenges at scale. The role offers competitive compensation ranging from $129,300 to $223,600 based on location, plus equity and comprehensive benefits. You'll be working with Amazon, a global technology leader known for innovation and customer obsession, while contributing to solutions that directly impact the company's workforce strategy and organizational success.

The position requires 3+ years of professional software development experience and offers the chance to work on impactful projects while collaborating with talented teams across Amazon. You'll be part of a team that values innovation, ownership, and technical excellence, with opportunities to influence strategic decisions and drive technological advancements in workforce planning.