Machine Learning Engineer, Workforce Solutions - Analytics and Tech

$129,300 - $223,600/Yr

Amazon - Seattle, WA

Full-time - Mid Level

Seattle, WA

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Machine Learning Engineer for Workforce Solutions at Amazon is responsible for designing and developing scalable AI and ML systems that address staffing challenges within Amazon's warehouses. This role involves working with cutting-edge technologies and collaborating closely with scientists and engineering teams to implement innovative ML solutions that have a significant impact on business operations and customer experience.

Responsibilities

• Design, implement, and productionize AI/ML models in collaboration with scientists.
• Develop ML/LLM workflows and end-to-end pipelines for data preparation, training, deployment, and monitoring.
• Leverage AWS AI services and other tools to enhance AI investments.
• Understand complex application data flows and bridge technical and business requirements.
• Identify state-of-the-art models to enable new capabilities and improve operational efficiency.
• Share expert knowledge in performance, scalability, and engineering best practices.
• Provide thought leadership in selecting and fine-tuning Large Language Models (LLMs) and prompt engineering.
• Mentor other engineers on AI/ML initiatives and foster a culture of learning.
• Define data and feature validation strategies.
• Deploy models to production systems and manage monitoring and troubleshooting.

Requirements

• 3+ years of non-internship professional software development experience.
• 2+ years of experience in design or architecture of new and existing systems.
• Experience programming with at least one software programming language.

Nice-to-haves

• 3+ years of experience in the full software development life cycle, including coding standards and operations.
• Bachelor's degree in computer science or equivalent.

Benefits

• Medical insurance
• Financial benefits including equity and sign-on payments
• Comprehensive employee benefits package