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Apple Machine Learning Research Engineer Audio R&D 
United Kingdom, England, Cambridge 
423029768

31.03.2025
  • Practical and theoretical knowledge of machine learning architecture design and training/testing methodologies.
  • Experience building machine learning pipelines
  • Excellent software architecture and programming skills in Python, C, C++
  • Knowledge of audio technologies
  • MS, in CS or EE, industry and research experience
  • Proven experience in machine learning development, including audio and speech applications.
  • Experience optimizing and compressing machine learning models for resource constrained platforms.
  • Familiarity and experience with multimodal large language models (LLMs)
  • Demonstrated innovation in machine learning (patents, publications)
  • Fundamentals of audio and speech signal processing