Sr. Machine Learning Engineer

Senior Machine Learning Engineer at Amazon.com Services LLC, onsite in Seattle, WA, with a yearly salary range of USD 168,100 to 227,400, focused on production ML systems, scalable deployment of Generative AI/ML methods, and mentorship.

Responsibilities

• Collaborate 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, model development, validation, and serving
• Research and implement innovative approaches for efficient model deployment, training, and optimization
• Document processes and methods for technical and non‑technical audiences to enable knowledge transfer and best practices
• Contribute to code reviews and uphold 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

Requirements

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

Technologies

• Python
• C++
• Transformer architecture
• LLMs (Large Language Models)

Benefits

• Sign‑on payments
• Restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescriptions; Basic Life & AD&D; option for supplemental life; EAP; mental health support; Medical Advice Line; Flexible Spending Accounts; Adoption and Surrogacy Reimbursement)
• 401(k) matching
• Paid time off
• Parental leave

Preferred Qualifications

• 5+ years of full software development lifecycle experience, including coding standards, code reviews, source control, build processes, testing, and operations
• Bachelor's degree in computer science or equivalent