Amazon Machine Learning Engineer Advertising Live Events 

United States, New York, New York 

521618989

Key job responsibilities
* Design and implement advanced ML models and generative AI systems to improve ad targeting, creative generation, placement, and viewer experience in live sports events
* Develop autonomous agents for real-time ad optimization, monitoring, and decision-making during live events
* Lead the integration of Large Language Models (LLMs) for automated content analysis, ad context understanding, and creative optimization
* Create AI-powered systems for dynamic ad personalization and real-time content adaptation
* Collaborate with cross-functional teams to integrate ML/GenAI solutions into existing ad serving, measurement, and campaign management technology stacks
* Develop intelligent agents for automated property management and event monitoring
* Analyze large-scale datasets to derive insights and improve model performance
* Contribute to the technical roadmap for global expansion of our AI-enhanced advertising products
* Mentor junior team members and promote best practices in ML, GenAI, and software developmentA day in the life
You will work closely with product teams, partner engineers, and program managers to identify opportunities for AI/ML-driven improvements in our advertising system. You'll develop and deploy intelligent agents that can autonomously monitor live events and make real-time decisions about ad placement and optimization. You'll leverage generative AI to create and test new ad formats and experiences. You'll analyze viewer data, ad performance metrics, and real-time event information to develop models that enhance ad relevance and effectiveness. You'll also participate in cross-team initiatives to expand our AI capabilities to new regions and properties, applying your expertise to solve unique challenges in different markets.

* 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

* Ph.D. in Machine Learning, Computer Science, or a related field
* Experience with real-time machine learning systems and online learning algorithms
* Experience with transformer architectures and large language models
* Practical experience in developing and deploying autonomous agents
* Familiarity with advertising technology, programmatic advertising, or ad serving systems
* Knowledge of cloud computing platforms, preferably AWS
* Publications in top-tier ML/AI conferences or journals
* Experience with multi-agent systems and agent-based architectures