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Apple AI/ML - Sr Software Engineer, ML Platforms in Seattle, Washington

AI/ML - Sr Software Engineer, ML Platforms

Seattle,Washington,United States

Machine Learning and AI

  • Proven experience in delivering distributed systems and services in a production setting.

  • Proven experiences using system monitoring tools and automated testing frameworks.

  • Strong software development skills, with proficiency in relevant languages (ex. Go, Python, Java, Scala, C++).

  • Creative, collaborative, and product-focused.

  • A passion for making simple, robust, and scalable platforms used by other engineering teams.


As a senior software engineer on Platform Architecture - ML Platform team you have the following responsibilities: • Own the architecture, design, development, and operations of large-scale systems designed for machine learning. These may include, but are not limited to, data management systems, data engineering workflow systems, distributed compute systems, and their web portal & web service components. • Partner with data scientists and machine learning engineers across different Apple organizations to define high-impact product features and deliver them with quality. In this role, you are building the platform upon which other teams will develop data pipelines and machine learning applications. • Lead a group of engineers to deliver high-quality products/services. Be able to stay on top of state-of-the-art technologies and apply them in the job. During the process, support junior engineers by providing advice, coaching, and educational opportunities. Additional Requirements for success in this role: • Proficiency with data pipelines in Hadoop/Spark or streaming system. • Ability to design and build efficient scalable data storage and retrieval systems. • Effective collaboration with engineering teams; you will work cross-functionally across multiple teams. • Experience with operating production systems (monitoring, alarming, problem diagnosis). • Experience with data visualization is a plus.

Education & Experience

BS, MS, or Ph.D. in Computer Science with 4+ years of experience

Additional Requirements

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