Staff Machine Learning Research Engineer, App Store Search
Core
Design and develop next-generation search and conversational discovery features for Apple's ecosystem (App Store, Apple Music, Apple TV, etc.) across iOS, macOS, and other platforms.
Role type
Staff Machine Learning Research Engineer (Search & Conversational Systems)
Builds
Next-gen search experiences, retrieval, ranking, indexing, and agentic/RAG-based capabilities for Apple devices.
Domain
Consumer Technology / Search & Recommendation Systems
Deliverable
production ML models
Required skills
Generative AI (LLMs, Transformers, RL, RAG, agentic patterns), Distributed ML training frameworks (PyTorch, TensorFlow, Ray, JAX), Inference engines (TensorRT, vLLM), Large-scale system architecture, A/B experimentation design, End-to-end ML lifecycle management, Mentoring technical teams
Preferred skills
Search & Conversational system expertise (query understanding, semantic retrieval, multi-stage ranking, intent resolution), Big data pipelines (Apache Spark), Distributed backend services (Kubernetes, cloud infrastructure)
