Machine Learning Engineer, Proactive - Large Language Models, Generative AI & Agentic Systems

Apple's Intelligence Platform team is seeking a Machine Learning Engineer to work on LLMs, Generative AI, and agentic systems. The role involves translating groundbreaking research into production systems, guiding technical direction, and collaborating cross-functionally to enhance user experiences across Apple products.

• Leading exploration and application of LLMs, Generative AI, and emerging agentic AI techniques (e.g., tool-use models, model-driven planning, task decomposition).
• Translating the latest research into high-performing, production-ready ML systems that enhance user experiences across Apple products.
• Helping define the technical direction for LLM-driven and agentic AI capabilities within the Intelligence Platform.
• Contributing to all phases of model development—problem formulation, experimentation, evaluation, fine-tuning, deployment, and continuous improvement.
• Collaborating cross-functionally to design and implement ML solutions, ensuring alignment with product goals, privacy requirements, and performance metrics.
• Driving innovation by identifying opportunities to incorporate advanced reasoning, grounding, or agentic patterns into existing ML systems.

• Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Artificial Intelligence, or a related field.