Machine Learning Engineer, Advertising in Live Events

Global technology company leading in e-commerce, cloud computing, digital streaming, and artificial intelligence.
$129,300 - $223,600
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS

Description For Machine Learning Engineer, Advertising in Live Events

The Advertising in Live Events (ALE) team at Amazon is seeking a Machine Learning Engineer to revolutionize live sports advertising through advanced ML and Generative AI. This role focuses on developing cutting-edge machine learning models and autonomous agents that will transform how advertisements are delivered during live sports events across Prime Video, Twitch, and other streaming platforms.

The position offers an exciting opportunity to work at the intersection of sports entertainment and artificial intelligence, where your work will directly impact millions of viewers. You'll be responsible for developing AI systems that enhance ad relevance, personalization, and viewer experience, while working with Amazon's extensive data resources and state-of-the-art computing infrastructure.

As an MLE, you'll collaborate with cross-functional teams to build and deploy intelligent systems that bridge traditional broadcast advertising with the future of AI-driven experiences. The role involves working with Large Language Models, developing autonomous agents for real-time optimization, and creating innovative solutions for ad targeting and creative generation.

The compensation is competitive, ranging from $129,300 to $223,600 based on location, with additional benefits including equity and comprehensive medical coverage. The team culture emphasizes innovation, technical excellence, and the opportunity to mentor others while working on globally-impacting projects.

This role is perfect for someone passionate about machine learning who wants to shape the future of sports advertising technology. You'll need strong technical skills in Python and ML frameworks, experience with generative AI, and the ability to work effectively in a fast-paced environment. The position offers significant growth potential and the chance to work on pioneering technology that will define the next generation of sports advertising.

Last updated 3 hours ago

Responsibilities For Machine Learning Engineer, Advertising in Live Events

  • Design and implement advanced ML models and generative AI systems
  • Develop autonomous agents for real-time ad optimization
  • Lead the integration of Large Language Models (LLMs)
  • Create AI-powered systems for dynamic ad personalization
  • Collaborate with cross-functional teams
  • Analyze large-scale datasets to derive insights
  • Contribute to technical roadmap for global expansion
  • Mentor junior team members

Requirements For Machine Learning Engineer, Advertising in Live Events

Python
  • Bachelors or Masters degree in Computer Science, Machine Learning, or a related field
  • 3+ years of professional experience in machine learning or data science roles
  • Strong programming skills in Python, and experience with ML frameworks such as TensorFlow or PyTorch
  • Experience in developing and deploying machine learning models in production environments
  • Experience with generative AI models and LLMs
  • Knowledge of autonomous agents and reinforcement learning
  • Proficiency in working with large-scale datasets and distributed computing systems

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