Familiarity with product ML/NLP lifecycle Familiarity with techniques such as SFT, RLHF, Data Synthesis, Parameter-Efficient Fine-Tuning, LLM-judge evaluation Excellent communication skillsExperience with deploying large ML models for real world products and leading high-performing teams Experience curating, filtering, and synthesizing high-quality training datasets at scale Familiarity with ML pipelines that need to scale across languages Experience developing and training models for agentic workflows, tool calling and advanced reasoning techniques Familiarity with working and managing complex, large-scale codebases, with a strong emphasis on writing high-quality, maintainable, and well-tested code. Our team is responsible for key Apple Intelligence portfolios such as personalized Writing Tools, Summarization (Mail, Messages, Notifications, etc.), Found In, Smart Actions as well as the entire keyboard backend: autocorrection, inline completions, proofreading, across all Apple platforms.