Generative Audio ML Researcher (Diffusion & Voice)

Apple, Inc.

Greater London

On-site

GBP 120,000 - 160,000

Full time

5 days ago
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Job summary

Apple is seeking a Machine Learning Researcher to advance generative audio. You will conduct diffusion- or flow-matching-based research on voice generation, speech synthesis, and audio processing, while building robust evaluation and benchmarking methods.

You’ll work with engineers and designers to translate research into live listening experiences and contribute to broader community work. You’ll run large-scale experiments on Apple infrastructure, collaborating across research, product, and

Qualifications

  • 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 coding in Python and PyTorch or JAX.
  • Excellent communication and presentation skills.

Responsibilities

  • Conduct research in generative audio using diffusion or flow-matching models.
  • Focus on voice generation, vocal and speech synthesis, audio processing techniques.
  • Develop evaluation methodology, benchmarking, and attribution considerations.
  • Run experiments at scale with collaboration across engineering, product, and design teams.

Skills

PhD in computer science
Peer-reviewed publications
Generative modelling
Python
PyTorch
JAX
Communication skills
Audio processing

Education

PhD in computer science or related field

Tools

Python
PyTorch
JAX

Job description

Apple is seeking a Machine Learning Researcher to advance generative audio. You will conduct diffusion- or flow-matching-based research on voice generation, speech synthesis, and audio processing, while building robust evaluation and benchmarking methods.

You’ll work with engineers and designers to translate research into live listening experiences and contribute to broader community work. You’ll run large-scale experiments on Apple infrastructure, collaborating across research, product, and

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