Senior Machine Learning Engineer

Senior Machine Learning Engineer for AWS Identity Analytics at Amazon Development Center U.S., Inc., focusing on end-to-end ML solutions and LLM-powered analytics agents to turn identity logs and metrics into actionable insights for AWS Identity leadership.

Responsibilities

• Design, build, and deploy end-to-end ML solutions that include anomaly detection, time-series forecasting, classification, and optimization to turn Identity logs, policies, and metrics into proactive insights.
• Develop and operate LLM powered agents that serve as intelligent interfaces to Identity data, enabling service teams to query, explore, and act on insights through conversational interactions.
• Engineer features from petabyte-scale datasets using AWS Glue, Athena, and EMR; deploy models to production environments using SageMaker, ECS, and EKS.
• Collaborate with AWS Identity leadership, product managers, IAM, STS, and other service teams to define success metrics, design experiments, validate models, and translate findings into decisions.
• Apply cutting edge ML, deep learning, and GenAI techniques to Identity Analytics challenges, promoting rapid experimentation and continuous learning.
• Communicate complex technical concepts clearly to audiences with varying levels of technical sophistication, including senior leadership.
• Mentor junior engineers and contribute to the team's long term technical direction.

Requirements

• 5+ years of non-internship professional software development experience
• 5+ years of programming experience in at least one software language
• 5+ years leading design or architecture of new and existing systems, focusing on design patterns, reliability, and scalability
• Experience as a mentor, tech lead, or leading an engineering team
• Experience with machine learning and large language model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in machine learning, data mining, information retrieval, statistics or natural language processing
• Bachelor's degree in computer science or equivalent

Technologies

• Glue
• Athena
• EMR
• SageMaker
• ECS
• EKS

Benefits

• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parential leave
• sign-on payments
• restricted stock units (RSUs)

Details

• Location: Seattle, WA (onsite)
• Salary: USD 168,100 - 227,400 per year
• Minimum Experience: 5 years