Sr. Machine Learning Engineer, AWS Applied AI Solution

Amazon
USA, WA, Seattle2026-01-13ONSITE

About the job

We're seeking a talented Senior Machine Learning Engineer with expertise in agentic system, production ML systems, and scalable deployment architectures. You'll bridge the gap between state-of-art research and customer-facing products, contribute to our collaborative and innovative culture, and deliver production-ready ML solutions that raise the bar for the entire team.

Responsibilities

Work closely with Applied Scientists and cross-functional engineering teams to transform research code into robust, scalable production systems

Own end-to-end deployment at scale of Generative AI and ML methods, ensuring reliability and performance

Establish scalable, efficient, 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 the team

Present outcomes and explain technical approaches to senior leadership, translating complex concepts into business impact

Qualifications

Minimum

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 (design patterns, reliability and scaling) of new and existing systems experience

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

Preferred

5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

Bachelor's degree in computer science or equivalent