Sr. Machine Learning Engineer, PXT EXR-Ops Tech

Senior ML technical leader role focused on ML architecture, large-scale systems, and production-grade AI services including generative AI and LLMs. Responsibilities Define and drive ML technical strategy and architecture for the team and adjacent teams Design and lead implementation of complex, multi-model ML systems at Amazon scale Architect ML platforms and frameworks enabling rapid experimentation and deployment across the organization Lead design of real-time and batch ML serving infrastructure with high availability and low latency Drive adoption of ML best practices across MLOps , model governance , responsible AI , and cost optimization Evaluate and introduce new ML technologies, frameworks, and methodologies (examples: foundation models , RAG , fine-tuning , RLHF ) Lead cross-functional initiatives across science , engineering , product , and business teams Influence org-wide technical decisions through design reviews , architecture reviews , and technical writing (design documents, white papers) Mentor and develop L4 and L5 ML engineers ; serve as a bar raiser or interviewer Drive operational excellence by defining SLAs , building dashboards , automating incident response , and reducing operational burden Requirements 5+ years of non-internship professional software development experience 5+ years of programming with at least one software programming language 5+ years leading design or architecture (design patterns, reliability, scaling) of new and existing systems Experience as a mentor , tech lead , or leading an engineering team Experience in technical support, or experience training and deploying machine learning systems to solve large-scale optimizations Experience building large-scale machine learning and AI solutions at Internet scale Experience creating and managing complex, cross-team project plans 4+ years of distributed systems experience, or a Bachelor’s degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience building complex software systems delivered to customers Benefits Sign-on payments Restricted stock units (RSUs) Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, 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 Parental leave Option for Supplemental life plans EAP Preferred Qualifications 5+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations Bachelor’s degree in computer science or equivalent Experience leading engineering discussions around technology decisions and strategy related to a product Experience defining ML platform strategy and building reusable ML infrastructure #J-18808-Ljbffr