Sr. Machine Learning Engineer, PXT EXR-Ops Tech

Saved job 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

Requirements: - 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