Machine Learning Research Engineer, App Store Search

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.

• 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 Tensor Flow Familiarity with search, recommendation systems, conversational engines, or related domains Strong communication skills and ability to work effectively in a collaborative team environment

• 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