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Machine Learning Researcher – Edge & Efficient AI

Apple· Machine Learning and AI
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HerzliyaFull-timePosted 1mo ago

About the role

Research, design, and deploy cutting-edge deep learning models optimized for Apple silicon edge devices, collaborating across hardware, software, and product teams to enable on-device AI at scale.

Responsibilities

  • Research and design state-of-the-art deep learning models optimized for resource-constrained Apple silicon edge devices
  • Drive projects across the full ML lifecycle, from ideation and experimentation to production deployment
  • Collaborate closely with cross-functional teams including hardware, software, and product
  • Continuously evaluate and adopt new techniques to improve model performance and efficiency on-device

Qualifications

  • M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or a related field - or equivalent practical experience
  • Strong foundation in deep learning theory and hands-on experience training models
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow/JAX
  • Experience working with multimodal data (e.g., images, audio, time-series, or sensor fusion)
  • Hands-on experience with model compression and optimization techniques (quantization, pruning, distillation, etc.)
  • Familiarity with on-device inference frameworks such as Core ML, TensorFlow Lite, ONNX Runtime, or TensorRT
  • Strong analytical and problem-solving skills; ability to translate research ideas into production-quality code

Skills

Required:PythonDeep learning frameworksMultimodal data handlingModel compression & optimizationOn-device inference frameworks
Nice to have:Embedded systems / mobile deployment
Last updated Aug 28, 2026. Interested? Apply on the company site.

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