Machine Learning Researcher, Data and ML Innovation

What you'll do

• Develop, fine-tune, and evaluate domain-specific Large Language Models for various AI-powered product applications.
• Conduct applied research to transition pioneering generative AI research into production-ready technologies.
• Build machine learning models to solve search relevance, ranking, and query understanding problems.
• Translate product requirements into specific modeling tasks and engineering requirements.
• Build end-to-end production systems for query understanding and ranking to power search features.
• Perform distributed data processing using Spark, Hadoop MapReduce, Hive, and Impala.
• Integrate search functions into Apple products like Siri, Spotlight, Safari, Messages, and Lookup.

What we're looking for

• PhD, MS, or equivalent experience.
• Experience in machine learning, deep learning, information retrieval, natural language processing, or data mining.
• Experience in prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs.
• Proficiency in Python, Go, Java, or C++.
• Excellent data analytical skills (preferred).
• Good interpersonal skills and team player (preferred).
• PhD preferred (preferred).