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Senior ML Research Engineer, Apple Services Engineering - Search Science @Cupertino(CA)/Seattle(WA)

📍 Cupertino, CA 🕒
Work Model
📍 Cupertino, CA
Employment
💼 Full-Time Direct
Recruitment Type
🛡️ Direct to HR Pipeline
🛡️
Human-Verified Opening: Inspected by Sarah Jenkins, CIPD • RemoteVault Editorial Team. Authenticated directly from 's hiring pipeline • Zero recruiter markups or candidate fees. Verification Standards →

📋 Role Overview & Responsibilities

Summary

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 Search for 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.

Key Qualifications

Deep understanding of search and information retrieval fundamentals including indexing, query understanding, retrieval and rankingStrong industry experience with one or more of the following: search, classification, regression, recommendation systems, ranking systems, fraud detection, online advertising, or related4+ years of relevant industry experienceKnowledge of ML models using Transformers, Large Language Models, Reinforcement Learning, TensorFlow, and PyTorchExperience building big data pipelines with Hadoop, Java, Scala, and SparkFamiliarity with A/B experimentation and data/data-driven product developmentExperience leading technical aspects for complex multi-functional projectsPassion. Our customers love what we do at Apple and we want the same from our engineers

Description

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. The ASE Search team powers search for iTunes, App Store, Apple Music, Apple TV, Podcasts, Books and more on iOS, macOS, tvOS, watchOS, web browsers, 3rd party devices, and Windows. We are looking for extraordinary 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.

You Will

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.Have a major impact on the way people search & discover on Apple devices worldwide.Experience developing complex components in large scale distributed systems using high-performance programming languages (C++/Go/Rust/etc)Be responsible for improving search recall and ranking.Use big data technology to evaluate and prioritize content discovery features.Conduct AB Tests to ensure we objectively measure improvements.Ensure successful deployment of features, code, data, and models to production.Collaborate with other world-class engineers, researchers, and statisticians to ensure that features and models are functioning at or above expected performance levels.Design & Implement solutions for automated unit and integration tests that enable continuous integration and delivery.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.

Education & Experience

MS or Ph.D. in Computer Science or related subject area

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This position is located in Cupertino, CA with potential relocation and sponsorship assistance depending on candidate qualifications.

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