AIML - Software Engineer, Machine Learning Platform & Infrastructure

Summary

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. Do you want to make Siri and Apple products smarter for our users? The Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day.

Description

We design and build infrastructures to support features that empowers billions of Apple users. Our team processes trillions of web links to select and crawl the most relevant content to surface to users through search. As part of the team, you’ll be responsible building large scale infrastructure, data processing and inference pipelines for a variety of tasks, including but not limited to writing APIs, petabyte-scale measurements, data pipelines to make substantial metric improvements, and support inference pipelines for ML teams. In this team, you’ll have the opportunity to work on incredibly complex large scale systems with trillions of records and petabytes of data.

Minimum Qualifications

MS in Computer Science or equivalent experience Strong coding skills and experience with data structures and algorithms Proficiency in one of following languages: Python, Go, Java, C++, Rust Experience with AWS Services such as Amazon S3 EC2 EKS / Kubernetes Experience with large scale infrastructure, petabyte scale data processing Ability to understand/clarify product requirements and translate them into technical tasks

Preferred Qualifications

Excellent data analytical skills Experience in Web Crawling is a plus Experience with machine learning inference is a plus Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.