Amazon Machine Learning Engineer II Search Science Data Infrastructure 

United States, California, Palo Alto 

121597752

Key job responsibilities
As an ML Engineer you will:- You will help manage machine learning lifecycle and operations using AWS AI services, DL compute resources, and our core search backend services for query understanding, semantic matching, and relevance ranking.
- You will build scalable data-intensive infrastructure that processes huge amounts of logs, catalogs, transactional data, and telemetry signals. By doing so, we enable teams to become more data-driven and build robust and explainable ML services.
- You will work with partners on data experimentation to advance Amazon product search, making it available across all geographic regions with variety of product search and discovery use cases across many categories.- Possess expert knowledge in performance, large scale distributed system scalability, system architecture, and engineering best practices.
- Obsess over operational excellence, evaluate system performance, security, design system metrics and driving quality improvements

- 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
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing

- 4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree in computer science or equivalent