ML Research Engineer

About This Role

Join the Apple Services Engineering (ASE) Search team to design and build next-generation search features for Apple's devices and platforms, leveraging machine learning to enhance content discovery worldwide.

Responsibilities

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

Requirements

• Strong industry experience with one or more of the following: search, classification, regression, recommendation systems, ranking systems, fraud detection, online advertising, or related
• MS or Ph.D. in Computer Science or related subject area
• Knowledge of ML models using Transformers, Large Language Models, Reinforcement Learning, TensorFlow, and PyTorch

Qualifications

• MS or Ph.D. in Computer Science or related subject area
• 2+ years of relevant industry experience in search, classification, regression, recommendation systems, ranking systems, fraud detection, online advertising, or related fields

Nice to Have

• Deep understanding of search and information retrieval fundamentals including indexing, query understanding
• Experience in training and evaluating machine learning models using Python/PyTorch/TensorFlow
• Experience building big data pipelines with Scala, and Spark
• Experience in distributed computing, micro-services architecture, search and related technologies
• Experience with GoLang
• Familiarity with A/B experimentation and data/data-driven product development
• Experience leading technical aspects for complex multi-functional projects

Skills

* Required skills

Benefits