ML Research Engineer, Services Engineering, Search

6 days ago

Seattle, Washington, United States Apple Full time
The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple's high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services. Thanks to Apple's unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple's privacy policy, one of Apple's core values. Although services are a bigger part of Apple's business than ever before, these teams remain small, nimble, and cross-functional, offering greater exposure to the array of opportunities here.

Description
The ASE Search team powers search for App Store, Apple Music, Apple TV, Podcasts, Books, iTunes and more on iOS, macOS, tvOS, watchOS, web browsers, 3rd party devices, and Windows. We're a diverse collective of problem solvers and doers, continually reimagining what's possible to help us all find what we love in new ways. Our engineers have created some tough acts to follow, and they continue to lead us to innovative breakthroughs. Because they're motivated not by what would be easy, but by what would be amazing. We are looking for extraordinary machine learning engineers and researchers to help build next-generation search features for Apple's ground breaking devices and platforms. We are a key part of the Apple ecosystem.

Minimum Qualifications
Strong industry experience with one or more of the following: search, classification, regression, recommendation systems, ranking systems, fraud detection, online advertising, or related
MS or Ph.D. in Computer Science or related subject area
Knowledge of ML models using Transformers, Large Language Models, Reinforcement Learning, TensorFlow, and PyTorch

Preferred Qualifications
Deep understanding of search and information retrieval fundamentals including indexing, query understanding,
2+ years of relevant industry experience
Experience in training and evaluating machine learning models using Python/PyTorch/TensorFlow
Experience building big data pipelines with Scala, and Spark
Experience in distributed computing, micro-services architecture, search and related technologies.
Experience with GoLang is a plus
Familiarity with A/B experimentation and data/data-driven product development
Experience leading technical aspects for complex multi-functional projects
Passion. Our customers love what we do at Apple and we want the same from our engineers

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