Machine Learning Research Engineer, App Store Search

The Apple Services Engineering (ASE) team is one of the most exciting examples

of Apple's long-held passion for combining art and technology. People here

create the experiences loved by users across App Store, Apple TV, Apple Music,

Apple Podcasts, and Apple Books. The scale is massive â delivering content and

entertainment in over 35 languages to more than 150 countries, while meeting

Apple's high bar on quality and performance. The team is responsible for

building secure, robust, end-to-end solutions across server and client to solve

challenging problems. Thanks to Apple's unique integration of hardware,

software, and services, engineers here work with a single unified vision of deep

commitment to strengthening Apple's core principles such as customer focus,

privacy, and relentless innovation. Although services are a bigger part of

Apple's business than ever before, these teams remain small, nimble, and

cross-functional, offering an opportunity to work with passionate people,

contribute ideas, and ship innovative software. Here, you'll do more than just

join a team â you'll be creating positive impact in people's lives.

DESCRIPTION

The ASE Search team is a vital part of the Apple ecosystem, powering search for

App Store, Apple Music, Apple TV, Podcasts, Books, iTunes and more, on a wide

set of platforms such as iOS, macOS, tvOS, watchOS, Safari, 3rd party devices,

and Windows. Driven by passion for the extraordinary rather than the easy, our

team of problem solvers is dedicated to helping users discover media and content

in exciting new ways. We are looking for motivated machine learning engineers

and researchers to join us in our journey. As an ML Research Engineer on the ASE

Search team, you will contribute to the design and development of

next-generation search and conversational discovery features for Apple's

groundbreaking devices and platforms.

MINIMUM QUALIFICATIONS

MS or Ph.D. in Computer Science or related subject area 2+ years of relevant

industry experience in ML or data systems Knowledge of generative AI systems

including Large Language Models, Transformers, and techniques such as RAG and

fine-tuning Experience with one or more ML frameworks such as PyTorch or

TensorFlow Familiarity with search, recommendation systems, conversational

engines, or related domains Strong communication skills and ability to work

effectively in a collaborative team environment

PREFERRED QUALIFICATIONS

MS or Ph.D. in Computer Science or related subject area 4+ years of relevant

industry experience in ML or data systems Experience in building search or

conversational capabilities like query understanding, retrieval, ranking, or

indexing Familiarity with big data pipelines using Scala, Python, or Apache

Spark Exposure to distributed backend services, Kubernetes, or cloud

infrastructure Experience with GoLang or gRPC services Familiarity with A/B

experimentation and data-driven product development