Machine Learning Research Engineer, NLP, Input Experience
Core
Building agentic ML product development systems and personalized agent trajectory pipelines using Apple Foundation Models to enhance user experience with language understanding and text composition.
Role type
Senior IC machine learning research engineer (NLP, agentic workflows)
Builds
Agentic ML product development systems, personalized agent trajectory pipelines, and scalable ML pipelines for Apple Intelligence features.
Domain
Consumer technology, Natural Language Processing, Generative AI
Deliverable
production ML models
Required skills
Data Science and ML Stack, SFT, RLHF, Data Synthesis, Parameter-Efficient Fine-Tuning, LLM-judge evaluation, building scalable ML pipelines, problem formulation, experimentation, evaluation, fine-tuning, continuous improvement
Preferred skills
Deploying large ML models for real-world products, curating and synthesizing high-quality training datasets at scale, developing models for agentic workflows and tool calling, managing complex large-scale codebases, using AI-assisted development tools
Technologies
Apple Foundation Models, LLMs
Responsibilities
Explore, design, and implement emerging ML/NLP techniques; redefine the ML development process across features and languages; build and refine personalized agent trajectory pipelines for data and evaluation; collaborate with cross-functional partners on human interfaces, user studies, and system integration.
Seniority
Senior, hands-on IC with technical leadership experience
