AI/ML - Sr. Software Engineer, ML Platform and Technology


Seattle, Washington, United States

Full time

Software Engineering / Software Developer

May 10

Our platform is built using a variety of systems and services, from bare metal to managed infrastructure services, and everything in between. We use existing systems when possible, but do not shy away from rolling components ourselves. As a team, we have a variety of technical backgrounds, from machine learning PhDs to building large-scale production systems. We exemplify a team of nerdy, pragmatic, proficient, product-focused engineers. Want to join us?

Key Qualifications

  • 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.

Education & Experience

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

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