The Siri Conversation Intelligence (SCI) team at Apple is at the forefront of developing groundbreaking technology for large-scale systems, spoken language, machine learning, and LLMs to enhance Siri's conversational capabilities. This role offers an opportunity to work with a talented team that has shaped how hundreds of millions of people interact with their devices through voice commands.
As a Machine Learning Engineer, you'll be responsible for conducting cutting-edge research in deep learning and developing advanced natural language and conversation understanding systems. The position requires collaboration with software and platform engineers to implement models on-device and enhance Siri's natural language understanding capabilities.
The ideal candidate will bring strong technical expertise in machine learning, particularly in areas like LLMs and natural language processing, combined with excellent programming skills in tools like Python, PyTorch, and TensorFlow. You'll be working on optimizing model performance, conducting accuracy improvements, and ensuring the successful deployment of state-of-the-art technology to production.
This role offers competitive compensation ($175,800 - $312,200), comprehensive benefits including medical coverage and stock options, and the chance to impact millions of users worldwide. You'll be working at Apple's Cupertino headquarters, contributing to one of the most widely-used AI assistants globally while collaborating with multiple teams to push the boundaries of conversational AI technology.