Selection changes the language of the page/content Generative AI Research Engineer, Siri Speech Cambridge, England, United Kingdom Machine Learning and AI Be part of the next revolution in human-computer interaction. Contribute to products that are redefining mobile computing. Create groundbreaking technology for large-scale systems, speech synthesis, and generative artificial intelligence. Work with the team building the intelligent assistant that helps millions of people get things done every day. Description The Siri Speech (TTS) Team is seeking a highly qualified, creative, and hands-on Early Career Research Engineer eager to advance the state-of-the-art in generative speech models and improve the user experience across Apple devices. In this role, you will collaborate with world-class product and research teams to integrate novel generative AI paradigms into on-device user experiences.As a Research Engineer on the End-to-End Neural TTS team, your primary focus will be researching and developing techniques to enhance the steerability, expressiveness, and fine-grained control of Large Language Models and Generative Speech Decoders on Apple devices. Responsibilities Investigate innovative conditioning, alignment, and guided inference methods to reliably control attributes such as prosody, emotion, speaker identity, and pacing in generative audio pipelines. Build proof-of-concept prototypes, benchmark new algorithmic approaches, and write high-quality software libraries to bridge cutting-edge research with production capabilities. Collaborate across multidisciplinary teams to ensure next-generation speech synthesis technology runs efficiently, reliably, and accessibly for everyone, everywhere. Adapt quickly to evolving research trends and shifting priorities in a fast-paced environment. Minimum Qualifications Deep Learning Foundations: Strong theoretical background in modern deep learning architectures, sequence modeling, and generative AI frameworks (e.g., Transformers, Flow Matching, Diffusion, VAEs). Mathematical Rigor: Solid foundation in optimization, probability theory, linear algebra, and statistical machine learning. Engineering Excellence: Excellent programming skills in Python and PyTorch, with experience writing clean, scalable code for model training and inference. On-Device
Generative AI Research Engineer, Siri Speech employer: Apple Inc.
At Apple, we foster a culture of innovation and collaboration, where diverse perspectives drive our success. As a Data Platform Infra Site Reliability Engineer in London, you'll enjoy competitive benefits, a commitment to employee growth, and the opportunity to work on cutting-edge technology that impacts millions globally. Join us to be part of a team that values your contributions and supports your career development in a dynamic environment.
