AI/ML - Software Engineer, ML Platform & Technology
- Seattle, WA
Posted: Apr 29, 2020
Role Number: 200099612
Want to own the platform that enables the next generation of intelligent experiences on Apple products & services? In Platform Architecture - Machine Learning Platform we have built the platform that Apple uses for developing machine learning, artificial intelligence, and computer vision applications. As an senior software engineer on our team you are responsible for designing & building software systems that are part of this platform. 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?
- Proven experiences on 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 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 PhD in Computer Science with 4+ years experience
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