Sr. Machine Learning Engineer, AWS Applied AI Solution

The Role

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.

What You'll Do

• 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

Basic 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 (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 Qualifications

• 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

Benefits

Amazon offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.