# Sr. Machine Learning Engineer at Amazon

Amazon is hiring a Sr. Machine Learning Engineer in Seattle, United States. It pays $193k-$262k a year and Level rates it Builds AI ●●●●; you can [apply on Amazon](https://jobsbylevel.com/go/7bbbb4fa-b7cf-45a8-8301-8735a5c8e06b?utm_medium=ai-agent).

AI Level 4, AI centrality 86 out of 100. US, WA, Seattle.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 4 (score 86 out of 100)
- Location: US, WA, Seattle
- Salary: $193k-$262k
- Posted: November 6, 2026
- Apply: https://jobsbylevel.com/go/7bbbb4fa-b7cf-45a8-8301-8735a5c8e06b?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=sr-machine-learning-engineer-at-amazon-c71e37

## Description

The Ad Response Prediction team builds the machine learning systems that decide which ads are most relevant to shoppers across every Amazon platform and surface worldwide. You'll own the architectural direction of the ML infrastructure behind ad relevance, covering large-scale training systems, real-time inference and the LLM-based architectures that support next-generation GenAI workloads at Amazon Ads scale. The team sits at the core of how Sponsored Products & Brands (SPB) is using generative AI to change advertising. The models and infrastructure we build directly determine ad relevance across Amazon's entire advertising surface. You'll work closely with applied scientists to take models from training and evaluation through deployment and serving. You'll also shape ML infrastructure practices beyond your immediate team. Key job responsibilities - Lead the development of LLM inference infrastructure for next-generation GenAI workloads at Amazon Ads scale: define the technical strategy, evaluate tradeoffs and deliver production-ready solutions - Own the architectural direction of large-scale ML training and real-time inference systems, driving improvements in scalability, automation and efficiency across the organization - Partner with applied scientists to design and optimize end-to-end ML pipelines, from model training and evaluation through deployment and serving, so models perform reliably at massive scale - Influence technical direction beyond your team by establishing ML infrastructure best practices and contributing to cross-team architectural decisions - Make principled tradeoff decisions on complex, ambiguous problems in a fast-moving GenAI space, bringing clarity and delivering results independently - Mentor engineers across the team and be the technical resource others seek out for ML infrastructure expertise About the team The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. The Ad Response Prediction team within SPB is at the core of this work. The models and infrastructure we build directly determine ad relevance across Amazon's entire advertising surface. We're a collaborative, high-ownership team that moves fast and builds ML systems that operate at internet scale. 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 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 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/sr-machine-learning-engineer-at-amazon-c71e37

Source: https://jobsbylevel.com/jobs/sr-machine-learning-engineer-at-amazon-c71e37

## Cite this page

Level. https://jobsbylevel.com/jobs/sr-machine-learning-engineer-at-amazon-c71e37.

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