Senior ML Engineer - Production-Scale Generative AI

Amazon Web Services (AWS); Seattle (WA); On-site; USD 168,000 - 227,000; Full time

Job summary

Amazon.com Services LLC in Seattle, WA is seeking a Senior Machine Learning Engineer to bridge state-of-the-art research with customer-facing products and deliver production-ready ML solutions. You will work with Applied AI scientists and cross-functional teams to transform research code into robust, scalable production systems, owning end-to-end deployment at scale.

As a mentor and technical leader, you will help recruit top talent, raise engineering standards, and document best practices for

Qualifications

• 5+ years of non-internship professional software development experience.
• 5+ years of programming with at least one software programming language experience.
• 5+ years of leading design or architecture of new and existing systems.
• Experience as a mentor, tech lead or leading an engineering team.
• Knowledge of Python and/or C++ programming.
• Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques.

Responsibilities

• Transform research code into robust, scalable production systems with cross-functional teams.
• Own end-to-end deployment at scale of Generative AI and ML methods, ensuring reliability and performance.
• Establish scalable, automated processes for large-scale data analysis, machine learning model development, model validation and serving.
• Research and implement innovative approaches for efficient model deployment, training, and optimization.
• Document processes and methods for both technical and non-technical audiences, ensuring knowledge transfer and best practices.
• Contribute to code reviews and maintain high engineering standards across the team.
• Mentor junior MLEs and actively participate in recruiting top talent to grow.

Skills

5+ years software development

5+ years programming

5+ years architecture leadership

Mentor/tech lead

Python

C++

ML fundamentals

LLM fundamentals

Education

Bachelor's degree in computer science or equivalent

Job description

Amazon.com Services LLC in Seattle, WA is seeking a Senior Machine Learning Engineer to bridge state-of-the-art research with customer-facing products and deliver production-ready ML solutions. You will work with Applied AI scientists and cross-functional teams to transform research code into robust, scalable production systems, owning end-to-end deployment at scale.

As a mentor and technical leader, you will help recruit top talent, raise engineering standards, and document best practices for