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Machine Learning Research Engineer

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Machine Learning Research Engineer in USA new

  • Seattle, WA

Responsibilities

  • Design and develop AI and machine learning models for multimodal human sensing and computer vision.
  • Build robust cross-domain identity recognition systems and representations of visual human traits.
  • Train, fine-tune, and evaluate deep learning models for vision tasks.
  • Research and develop foundation models for facial and full-body perception.
  • Support efficient real-time and on-device visual human sensing for Apple experiences.

Requirements

  • Master's or Ph.D. in Computer Science, Computer Engineering, or a related field, or equivalent professional experience in computer vision and machine learning research and development.
  • Proven track record training, fine-tuning, and evaluating deep learning models for vision tasks using modern machine learning architectures.
  • Research and innovation background demonstrated through top-tier publications, patents, or impactful software development.
  • Proficiency in Python and PyTorch or equivalent deep learning frameworks.
  • Preferred: expert-level knowledge of face recognition, facial analysis, or biometric systems.
  • Preferred: hands-on experience training and scaling multimodal large language models or large-scale vision-language models.
  • Preferred: experience with on-device machine learning, model optimization such as knowledge distillation, quantization, or pruning, or production-grade machine learning pipelines.

Apple

We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This i...

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