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Audio Machine Learning Engineer

Apple· Audio Machine Learning / Hardware ML
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HerzliyaFull-timePosted 4mo ago

About the role

Role focused on designing data pipelines, developing audio ML models, and optimizing for Apple silicon. Collaborates with ML, data engineering, research, and product teams to ship audio-focused ML features with a emphasis on data quality, low latency, high fidelity, and privacy.

Responsibilities

  • Work with unique, proprietary datasets - developing algorithms to process them and devising metrics to evaluate and improve quality
  • Design and implement machine learning models focused on the audio domain, for low-latency feedback and high-fidelity streaming
  • Drive data quality insights and influence the design of our end-to-end system
  • Conduct both cutting-edge research and product-oriented development
  • Collaborate closely with researchers, engineers, and product teams to bring new capabilities to life

Qualifications

  • BS or MS in CS, EE, or related degree
  • 3+ years of industry experience in deep learning through applied research roles
  • Deep understanding of Machine Learning fundamentals
  • Proficiency in Python and at least one deep learning framework (PyTorch, TensorFlow, or JAX)
  • Collaborative skills for dependable and consistent steering of novel research alongside fellow teams
  • Ph.D. in CS, EE or a related field
  • Advanced background and hands-on experience in speech ML technology (e.g., multi-modals, speaker embeddings, voice isolation, ASR, multichannel sensor fusion, generative speech)
  • Background in digital signal processing (DSP) for audio signals
  • Experience training large models using both supervised and self-supervised methods
  • Track record of shipping ML features in a production environment

Skills

Required:Machine Learning fundamentalsPythonDeep learning frameworks

Benefits

  • Accessibility-focused culture and benefits
  • Supportive tools and digital accessibility resources
  • Opportunities to work on technologies with global reach
Last updated Jul 10, 2026. Interested? Apply on the company site.

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