Senior ML Engineer: Scale AI Platforms & GenAI

Amazon Inc.; Factoria (WA); On-site; USD 168,000 - 227,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon.com Services LLC seeks a Senior Machine Learning Engineer to lead the design and delivery of large-scale ML systems with significant business impact. You will define the ML architecture and strategy for your team, guiding cross‑organizational platform decisions and advancing production-grade AI services, including generative AI and LLMs.

You will mentor ML engineers, drive ML best practices, and shape roadmaps with strong judgment in ambiguous problems.

Qualifications

• 5+ years of non‑internship professional software development experience.
• 5+ years of programming with at least one software programming language.
• 5+ years of leading design or architecture of new and existing systems.
• Experience mentoring, tech lead, or leading an engineering team.
• Experience with ML and Large Language Model fundamentals.

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.
• 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.

Job description

Amazon.com Services LLC seeks a Senior Machine Learning Engineer to lead the design and delivery of large-scale ML systems with significant business impact. You will define the ML architecture and strategy for your team, guiding cross‑organizational platform decisions and advancing production-grade AI services, including generative AI and LLMs.

You will mentor ML engineers, drive ML best practices, and shape roadmaps with strong judgment in ambiguous problems.