Apple's AIML Information Intelligence team is at the forefront of AI and machine learning innovation, developing cutting-edge technologies that power search features across Apple products including Siri, Spotlight, Safari, Messages, and Lookup. This role offers an exciting opportunity to work on groundbreaking generative AI technologies and Large Language Models (LLMs).
As a Machine Learning Engineer, you'll be instrumental in developing sophisticated machine learning models for Open Domain Question Answering and Summarization. You'll work with both structured knowledge graph data and unstructured web data to improve user query understanding, document retrieval, and ranking. The role involves developing state-of-the-art LLMs for summarizing personal data and creating AI-powered features that impact hundreds of millions of users.
The position offers competitive compensation ranging from $135,400 to $250,600, along with comprehensive benefits including medical coverage, stock options, and education reimbursement. You'll join a fast-paced team working on next-generation AI technologies, with the opportunity to shape upcoming Apple products. The ideal candidate should have strong machine learning fundamentals, experience with LLM fine-tuning, and a passion for turning cutting-edge research into production-ready solutions.
Working at Apple's Seattle office, you'll collaborate with researchers and data scientists to develop and fine-tune domain-specific Large Language Models. This is an excellent opportunity for someone with both technical expertise and a vision for how AI can enhance user experiences across Apple's ecosystem. The role combines practical engineering with advanced research, making it perfect for those who want to impact the future of AI technology at a global scale.