Machine Learning Researcher - Apple Services Engineering - Generative Audio

Apple, Inc.; Greater London; Presencial; GBP 90.000 - 130.000; Jornada completa

Descripción de la vacante

Apple is seeking a Machine Learning Researcher to advance generative audio capabilities within the Apple Services Engineering team in London. You will research diffusion/flow-matching approaches for voice generation, media synthesis and real-time generation, while ensuring evaluation rigor and alignment with user expectations.

You will publish, benchmark, and collaborate with colleagues across research, engineering and design to ship impactful listening experiences.

Formación

• PhD in computer science, statistics, applied mathematics or related field.
• Peer-reviewed publications at venues such as ICASSP, ISMIR, Interspeech, NeurIPS, ICLR, ICML or related.
• Expertise in generative modelling, machine learning, music information retrieval or speech and audio processing.
• Industry experience of coding in Python and PyTorch or JAX.
• Excellent communication and presentation skills.

Responsabilidades

• Conduct research in generative audio using diffusion or flow-matching models.
• Publish results and benchmark against the state of the art.
• Turn research into real listening experiences with cross-functional partners.
• Run experiments at scale on internal infrastructure and collaborate with engineers.

Conocimientos

Python programming

Machine learning

Generative modelling

Communication

Educación

PhD in computer science or related field

Herramientas

Python

PyTorch

JAX

Descripción del empleo

Selection changes the language of the page/content

Machine Learning Researcher - Apple Services Engineering - Generative Audio

London, England, United Kingdom Machine Learning and AI

Join the Computational Music Technologies team, where we build the audio intelligence behind some of Apple's 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. We're 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 Apple.Music 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 we're given the resources and access to large GPU clusters to enable us to pursue ambitious, foundational work.

Description

As a Machine Learning Researcher on the team, you'll 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 approaches. Alongside this, you'll help build the foundations that everything above depends on: evaluation methodology, benchmarking against the state of the art, and questions of attribution. You'll 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 community. Is this you? If so, we'd love to hear from you.

Minimum Qualifications

• A PhD in computer science, statistics, applied mathematics or related field
• Peer-reviewed publications at venues such as ICASSP, ISMIR, Interspeech, NeurIPS, ICLR, ICML or related
• Expertise in generative modelling, machine learning, music information retrieval or speech and audio processing
• Industry experience of coding in Python and PyTorch or JAX
• Excellent communication and presentation skills

Preferred Qualifications

• Deep expertise in one of the following areas: audio generation and editing, post-training of diffusion models, voice synthesis
• Experience integrating machine learning models into consumer-facing applications
• Love of music

At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more

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