The Advertising & Marketing Performance Intelligence (AMPI) team is looking for a Machine Learning Engineer (MLE) to develop, deploy, and scale robust ML and GenAI solutions in a production environment. This role involves building ML infrastructure for production models and collaborating with various teams to implement automated decision-making algorithms. The MLE will work on projects that impact millions of advertisers globally, utilizing state-of-the-art technologies in AI/ML systems. The position offers exposure to innovative tools and practices in the field of machine learning and marketing automation.

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture experience of new and existing systems
• Experience programming with at least one software programming language
• Experience in machine learning, data mining, information retrieval, statistics, or natural language processing
• 3+ years of full software development life cycle experience
• Bachelor's degree in computer science or equivalent
• 1+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization, or search experience

• Collaborate with Data and Applied Scientists to process structured and unstructured data inputs.
• Scale ML and LLM infrastructure while optimizing costs, GPU utilization, and memory management.
• Create and deliver reusable technical assets to accelerate the adoption of ML, Optimization, and GenAI.
• Design and maintain production-grade large-scale distributed training systems.
• Optimize AWS AI/ML infrastructure costs and ensure efficient model training.
• Develop robust monitoring and debugging tools for training workflows.
• Investigate design approaches and prototype new GenAI and ML models.

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.