Machine Learning Engineer, Advertising in Live Events

Job Description

The Advertising in Live Events (ALE) team is seeking a passionate and innovative Machine Learning Engineer (MLE) to revolutionize the live sports advertising experience through advanced ML, Generative AI, and intelligent agents.

Requirements

• 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

Responsibilities

• Design and implement advanced ML models and generative AI systems for 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 AI-enhanced advertising products
• Mentor junior team members and promote best practices in ML, GenAI, and software development

Benefits

• Medical, dental, and vision coverage (multiple plan options)
• Health savings and flexible spending accounts
• 24/7 Employee Assistance Program for mental health support
• 401(k) with company match and various investment choices
• Company-paid life/AD&D and disability insurance
• Restricted stock units (RSUs) for employee ownership
• Child care and elder care referrals, adoption assistance
• Paid maternity and parental leave (including Ramp Back)
• Paid time off (PTO) and company holidays
• Employee discount on Amazon.com products
• Career Choice program (95% tuition and textbook coverage)