About the Role

This role is a Software Development Engineer in Machine Learning for Amazon's Sponsored Products and Brands team. The engineer will enhance large-scale ML training and inference systems, develop LLM infrastructure for GenAI workloads, and optimize models with applied scientists to deliver relevant ads globally.

Key Responsibilities

• Enhance scalability, automation, and efficiency of large-scale training and real-time inference systems
• Pioneer development of LLM inference infrastructure for next-generation GenAI workloads at Amazon Ads scale
• Work closely with applied scientists to optimize performance of machine-learning models and infrastructure
• Implement end-to-end solutions for machine learning systems
• Build advanced machine learning models and infrastructure from training to inference, including LLM-based systems

Required Skills & Qualifications

Must Have:

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one software programming language

Nice to Have:

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent
• Experience in machine learning, data mining, information retrieval, statistics or natural language processing

Benefits & Perks

• Medical benefits
• Financial benefits
• Other benefits (full range)