Machine Learning Research Engineer, Text Generation

Apple's Input Experience NLP team is seeking a Machine Learning Research Engineer to work on groundbreaking text generation technologies. This role focuses on redefining user interaction with generative models for text generation, working on projects that have been highlighted in multiple WWDC keynotes. The team is responsible for developing and implementing advanced text generation technologies such as context-augmented text rewriting, safety-controlled text composition, and personalized smart interactions.

The position offers a unique opportunity to work with cutting-edge ML and NLP technologies while maintaining Apple's commitment to privacy through on-device processing. You'll be part of a team that owns the NLP and ML text input stack for keyboard input across all Apple platforms, including auto-correction and predictive typing features. The role involves working with both offline pioneering NLP models and their optimization for various hardware backends.

As a Machine Learning Research Engineer, you'll collaborate with outstanding ML and software engineers, working on technologies that impact billions of users. The role requires strong ML fundamentals, programming skills, and either a Ph.D. or equivalent experience. You'll be involved in the full stack of ML applied to NLP, from model development to deployment, while working with the Natural-Language framework.

The position offers comprehensive benefits, including medical and dental coverage, retirement benefits, stock programs, and educational expense reimbursement. The base pay range is competitive, ranging from $135,400 to $250,600, with additional opportunities for bonuses and equity participation. This is an excellent opportunity for someone passionate about ML and NLP who wants to create user experiences that reach a global audience while working at one of the world's most innovative technology companies.