Machine Learning Engineer, Proactive

Apple's AIML Information Intelligence team is developing groundbreaking AI, ML, and NLP technologies for products like Siri, Spotlight, and Safari. This role focuses on research and development of large-scale deep learning and large language models for open-domain question answering, summarization, and search relevance. You will conduct applied research to transfer cutting-edge generative AI into production-ready features.

• Conduct research and development on state-of-the-art deep learning and large language models for various tasks in Apple's AI-powered products.
• Develop, fine-tune, and evaluate domain-specific LLMs for NLP tasks including summarization, question answering, search relevance/ranking, entity linking, and query understanding.
• Transfer cutting-edge generative AI research into production-ready technologies.
• Understand product requirements and translate them into modeling and engineering tasks.
• Stay current with advancements in deep learning and large language models.

• Master's in Computer Science, AI, Machine Learning, or related field (PhD preferred).
• 10+ years of work experience in machine learning, deep learning, or related field.
• At least 2 years of experience in LLM fine-tuning techniques (SFT, RLHF, DPO, LoRA, etc.).
• At least 10 years of experience leading complex cross-functional projects and influencing research direction.