Machine Learning Researcher Apple Services Engineering Generative Audio

Join the Computational Music Technologies team where we build the audio intelligence behind some of Apples most distinctive listening experiences. We shipped AutoMix intelligent DJ-style transitions between tracks and the Music Understanding Framework our on-device audio feature extraction system. Were now building the next generation of generative audio technology including the foundational models that will underpin a range of new experiences for music lovers and creators across is our passion and so is doing the research right: rigorous evaluation careful attention to artist and listener trust and a bias toward shipping. Our team sits close to partners in research and engineering across Apple and were given the resources and access to large GPU clusters to enable us to pursue ambitious foundational work.

As a Machine Learning Researcher on the team youll conduct research in generative audio using diffusion or flow-matching models with a focus on one or more of the following areas: voice generation researching vocal and speech synthesis alongside related audio and signal processing techniques; post-training and alignment techniques to improve output quality controllability and adherence to human preference; and realtime generation developing architectures and distillation methods that bring generation latency down to the point where it can run live including few-step and streaming this youll help build the foundations that everything above depends on: evaluation methodology benchmarking against the state of the art and questions of attribution. Youll run experiments at scale on our own infrastructure work closely with engineering product and design partners to turn research into real listening experiences and stay connected to the broader research this you If so wed love to hear from you.

A PhD in computer science statistics applied mathematics or related fieldnPeer-reviewed publications at venues such as ICASSP ISMIR Interspeech NeurIPS ICLR ICML or relatednExpertise in generative modelling machine learning music information retrieval or speech and audio processingnIndustry experience of coding in Python and PyTorch or JAXnExcellent communication and presentation skills

Deep expertise in one of the following areas: audio generation and editing post-training of diffusion models voice synthesisnExperience integrating machine learning models into consumer-facing applicationsnLove of music