Applied Machine Learning Research Engineer, Siri

Apple's Siri team is seeking an exceptional Applied Machine Learning Research Engineer to work on cutting-edge generative AI and Large Language Models. This role is part of the SWE Response team, responsible for developing advanced machine learning technology for natural language and speech generation, including projects like Apple Intelligence and Siri.

The ideal candidate will have extensive experience in applied ML research and development, particularly in natural language processing/generation, speech generation/understanding, and multimodal models. You'll be working on advancing capabilities in systems like Siri, developing end-to-end solutions from data scaling to model implementation and training.

This position offers the opportunity to work with state-of-the-art technology while impacting billions of users worldwide. You'll collaborate with cross-functional teams to bring research innovations to production, focusing on large-scale ML models and natural language/speech generation features.

The role combines technical expertise with creative problem-solving, requiring both excellent programming skills and the ability to innovate in a fast-paced environment. You'll be part of Apple's mission to enhance virtual assistant technology through advanced machine learning applications.

Benefits include comprehensive medical and dental coverage, retirement benefits, stock programs, education reimbursement, and potential bonuses. The base salary ranges from $166,600 to $296,300, depending on skills, qualifications, and experience. Join Apple in shaping the future of AI and virtual assistant technology while working with a team of passionate innovators in Seattle.