Amazon.com Services LLC

Advertising

SrMachineLearningEngineer,SponsoredProductsandBrands

$151–262k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr Machine Learning Engineer, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Machine Learning, MLOps, Data Engineering. Develop machine learning models. Manage machine learning models”

Industry & Context.

Advertising
Problems you'll solve

Solving complex challenges

What They're Looking For.

Must Have

5+ years non-internship professional software development, 5+ years programming experience, 5+ years leading design or architecture, Experience as a mentor, Experience as a tech lead, Experience leading an engineering team

Nice to Have

5+ years full software development life cycle, Bachelor's degree in computer science, Experience developing ML products, Experience developing NLP products, Experience in online advertising, Experience with high-tech products/services

What You'll Do.

Develop machine learning models

Manage machine learning models

Develop scalable real-time ML inference solutions

Develop data transformation solutions

Develop engineering solutions

Compute ML model features

Identify improvements

Deal with production issues

How You'll Work.

Team & Collaboration

Interdisciplinary team

Communication Scope

Clarity in communication

Full Job Description

About Sponsored Products and Brands The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading 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. About our team The Gnome team within the Sponsored Products and Brands (SPB) improves ad selection helping shoppers reach their shopping mission. To do this, we apply a broad range of machine learning, causal inference, reinforcement learning based optimization techniques and LLMs to continuously explore, learn, and optimize ads shown. We are an interdisciplinary team with a focus on customer obsession and inventing and simplifying. Our primary focus is on improving the ads experience by gaining a deep understanding of shopper pain points and developing new innovative solutions to address them. A day in the life (role summary) As a Sr MLE on the Gnome team, you will be responsible for developing and managing the machine learning models, infrastructure, scalable real-time ML inference solutions in low-latency setting, and data transformation and engineering solutions to compute ML model features. This role also needs to continue raising the bar in operational excellence, including pro-actively identifying and delivering improvements and dealing with production issues e

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