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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer II, Search Science Data Infra - **Company:** Amazon.com, Inc. - **Location:** Palo Alto, CA, United States - **Salary:** $165,200.0 - $223,600.0 - **Contract:** Internship / Graduate position - **Skills:** Training Data, Java (Programming Language), Amazon Web Services, Software Applications, Big Data, C Sharp (Programming Language), C++ (Programming Language), Data Infrastructure, Data Mining, Software Design Patterns, Distributed Systems, Perl (Programming Language), Machine Learning, Object-Oriented Software Development, Azure Machine Learning, Software Deployment, Software Engineering, Transaction Data, Multithreading, Feature Engineering, AI Platforms, Information Technology, Data Analytics, Machine Learning Operations, Programming Languages - **Published:** June 3, 2026 - **Apply:** https://www.amazon.jobs/en/jobs/10378244/software-engineer-ii-search-science-data-infra ## About the Role 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 - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language, Master's degree in computer science or equivalent - Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets - Experience in operational excellence, security compliance, and distributed systems resiliency - Experience working with customers with a passion for delivering exceptional service, or experience that includes strong analytical skills, attention to detail, and effective communication abilities ## Description Search Science Data Infrastructure (SSDI) team is responsible for delivering high quality and fresh ML model training data, and providing seamless access to all ML artifacts through federated Feature Store infrastructure. This platform provides the ML training data and real-time signals / embeddings for inferencing to Amazon search ranking, matching quality, search economics and also powers live-site features, including search suggestions, query understanding, spelling, search result ranking, and personalization. Furthermore, 450+ teams across Amazon consume our datasets to power analytics and behavioral models. We are located in downtown Palo Alto, a short walk from numerous shops and restaurants, and right across from the Caltrain station., As an ML Engineer you will: Lead development of services and infrastructure at the intersection of machine learning, big data, and distributed systems. Our products and services empower hundreds of science teams across Amazon to deliver machine learning at scale for ML model training, Feature engineering and Data quality monitoring. You will be at the center stage for managing 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 drive to provide a world class platform for Amazon Search engineers to comprehensively observe and introspect their applications and services both pre and post deployment to our large scale inference services. 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [This App Reached 10,000 Users in One Week. 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