AIML - Machine Learning Engineer, Siri Perception

As a Machine Learning Engineer on the Siri Perception team at Apple, you'll work on innovative voice-based experiences to make Siri more intuitive and personal. You'll design, develop, and implement machine learning algorithms for features like Back-to-Back requests, which allow Siri to understand when users are talking to it without saying "Siri" or "Hey Siri". You'll collaborate with talented engineers, researchers, and data scientists to explore new approaches, conduct experiments, and analyze data to improve user journeys.

Key responsibilities include: • Designing and implementing ML models for Siri invocation features • Conducting experiments to evaluate and improve model performance • Error estimation and monitoring distribution shifts • Collaborating with cross-functional teams to productionize ML models • Staying current with the latest advances in machine learning

This role offers the opportunity to work on large-scale machine learning projects, particularly in speech recognition and natural language processing, using cutting-edge deep learning architectures including LLMs. You'll be at the forefront of developing the next generation of Siri on Apple Intelligence, making a significant impact on how millions of users interact with their devices.

Apple offers a competitive compensation package, including base pay between $143,100 and $264,200, potential stock awards, bonuses, and comprehensive benefits. Join Apple to push the boundaries of AI and machine learning in one of the world's most widely used virtual assistants.