About the job
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.
Responsibilities
Have a major impact on the way people search & discover on Apple devices worldwide.
Think through complex research problems, simplify where necessary, invent when needed, to drive a principled vision from thought to reality.
Present key technical and novel research work in public forums.
Conduct AB Tests to ensure we objectively measure improvements.
Be responsible for improving search recall and ranking.
Use big data technology to evaluate and prioritize content discovery features.
Collaborate with other world-class engineers, researchers, and statisticians to ensure that features and models are functioning at or above expected performance levels.
Develop complex components in large scale distributed systems using high-performance programming languages (Java/Go/Rust/Scala/Python etc)
Design & Implement solutions for automated unit and integration tests that enable continuous integration and delivery.
Ensure successful deployment of features, code, data, and models to production.
Support search on all devices (macOS, iOS, tvOS, watchOS, visionOS, Siri/HomePod, and more) globally in languages from Arabic to Russian and everything in between.
Qualifications
Minimum
MS or Ph.D. in Computer Science or related subject area
2+ years of relevant industry experience
Strong industry experience with one or more of the following: search, classification, regression, recommendation systems, ranking systems, fraud detection, online advertising, or related
Knowledge of ML models using Transformers, Large Language Models, Reinforcement Learning, TensorFlow, and PyTorch
Preferred
Deep understanding of search and information retrieval fundamentals including indexing, query understanding,
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