Senior ML technical leader role focused on ML architecture, large-scale systems, and production-grade AI services including generative AI and LLMs.

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

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

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

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

Location: Bellevue, WA (onsite)

Compensation: USD 168,100 - 227,400 per year

Minimum experience: 5 years

Sr. Machine Learning Engineer, PXT EXR-Ops Tech

Job Description