Job 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 TensorFlow 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

Requirements

Must-haves

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
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningmlaipythonkubernetesgolang

Platform: apple
Effort: medium