Senior Machine Learning Engineer - Pxt Exr-Ops Tech

Description

We are looking for a Senior Machine Learning Engineer who will serve as a technical leader, driving the design and delivery of complex, large-scale ML systems that have significant business impact. In this role, you will define the ML architecture and technical strategy for your team, influence cross-organizational ML platform decisions, and raise the bar for ML engineering excellence. You will build super-intelligent AI systems, lead the development of production-grade AI services including generative AI and LLMs, and mentor a team of ML engineers. This is a high-impact role requiring deep technical expertise, strong judgment, and the ability to operate in ambiguous problem spaces.

Key job responsibilities
• Define and drive the ML technical strategy and architecture for your team and adjacent teams
• Design and lead the implementation of complex, multi-model ML systems at Amazon scale
• Architect ML platforms and frameworks that enable rapid experimentation and deployment across the organization
• Lead the design of real-time and batch ML serving infrastructure with high availability and low latency
• Drive adoption of ML best practices including MLOps, model governance, responsible AI, and cost optimization
• Evaluate and introduce new ML technologies, frameworks, and methodologies (e.g., foundation models, RAG, fine-tuning, RLHF)
• Lead cross-functional initiatives spanning 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; raise the hiring bar as a bar raiser or interviewer
• Drive operational excellence: define SLAs, build dashboards, automate incident response, and reduce operational burden

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
- Experience in technical support, or experience with training and deploying machine learning systems to solve large-scale optimizations
- Experience building large-scale machine learning and AI solutions at Internet scale
- Experience in creating and managing complex, cross-team project plans
- 4+ years of distributed systems experience, or 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 that have been successfully delivered to customers

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
- Experience leading engineering discussions around technology decisions and strategy related to a product
- • Experience defining ML platform strategy and building reusable ML infrastructure

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.