Machine Learning Research Engineer, ASE Search

Apple•Seattle, WA

About The Position

The ASE Search team is a vital part of the Apple ecosystem, powering search for App Store, Apple Music, Apple TV, Podcasts, Books, Fitness+, iTunes, and more, across a wide set of platforms including iOS, macOS, tvOS, watchOS, visionOS, Safari, and third-party devices. Driven by a 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, and we're looking for motivated engineers and researchers to join us on this journey. As a Machine Learning Researcher/Engineer on the ASE Search team, you will help design and develop next-generation search and conversational discovery features for Apple's groundbreaking devices and platforms.

Requirements

MS in Computer Science or a 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.
Strong communication skills and the ability to work effectively in a collaborative team environment.

Nice To Haves

Familiarity with distributed training or inference tooling (e.g., Ray, TensorRT, vLLM).
Familiarity with search, recommendation systems, conversational engines, or related domains.
Ph.D. in Computer Science or a related subject area.
4+ years of relevant industry experience in ML or data systems.
Experience building search or conversational capabilities such as query understanding, retrieval, ranking, indexing, autocomplete, or intent resolution.
Familiarity with big data pipelines using Scala, Python, or Apache Spark.
Exposure to distributed backend services, Kubernetes, cloud infrastructure, or container orchestration.
Experience with GoLang or gRPC services.
Familiarity with A/B experimentation and data-driven product development.