Senior ML Platform Architect - Scale AI Systems & MLOps

Amazon

Bellevue (WA)

On-site

USD 168,000 - 227,000

Full time

4 days ago

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Benefits offered by this job

RSUs

401(k) matching

Paid time off

Parental leave

Disability accommodations

Job summary

Amazon in Bellevue, WA is seeking a Senior Machine Learning Engineer to act as a technical leader, shaping ML architecture and strategy for a team and collaborating across the organization. You will build production-grade AI services, including generative AI and LLMs, and mentor junior engineers while driving best practices and platform decisions.

You will design and oversee large-scale ML systems, lead cross-functional initiatives, and define scalable serving infrastructure with high

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 of new and existing systems.

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 enabling rapid experimentation and deployment.
Lead the design of real-time and batch ML serving infrastructure with high availability.
Drive adoption of ML best practices including MLOps, governance, and cost optimization.
Evaluate new ML technologies, frameworks, and methodologies (foundation models, RLHF).
Lead cross-functional initiatives spanning science, engineering, product, and business teams.
Mentor L4 and L5 ML engineers; participate as a bar raiser/interviewer.
Drive operational excellence: SLAs, dashboards, incident response, reduce burden.