AIML - Machine Learning Engineer, Siri and Information Intelligence

Join Apple's AIML Information Intelligence team in creating groundbreaking technology for artificial intelligence, machine learning, and natural language processing. This role focuses on developing and improving Siri and Search products that impact hundreds of millions of users worldwide.

As a Machine Learning Engineer, you'll be working on large-scale machine learning and deep learning projects to enhance Query Understanding and Ranking of search functionality. You'll be developing sophisticated ML models using word embeddings and deep learning to understand match quality, implementing natural language processing for query comprehension, and handling petabytes of data from millions of users.

The position involves working with cutting-edge Large Language Models (LLMs) and transferring research innovations into production-ready technologies. You'll collaborate with researchers and data scientists to develop, fine-tune, and evaluate domain-specific LLMs for various applications in Apple's AI-powered products.

Key responsibilities include making data-driven decisions to improve products, building end-to-end production systems, and integrating search functions across Apple's ecosystem including Siri, Spotlight, Safari, Messages, and Lookup. You'll work with distributed computing technologies like Spark and Hadoop for large-scale data processing.

The role offers competitive compensation, including base pay between $143,100 and $264,200, plus additional benefits such as stock options, comprehensive healthcare, and education reimbursement. This is an excellent opportunity to work on innovative AI technologies that directly impact user experiences across Apple's product line while being part of a team that's pushing the boundaries of what's possible with machine learning and artificial intelligence.