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Machine Learning Systems Engineer

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Machine Learning Systems Engineer in USA new

  • Sunnyvale, CA

Responsibilities

  • Build software infrastructure to deliver multimodal context to machine learning models.
  • Optimize software harnesses and models for efficient on-device deployment.
  • Transform computer vision research projects into production software that ships to customers.
  • Partner with algorithm researchers on post-training model alignment and evaluation.
  • Develop and integrate machine learning components into complex production systems.
  • Optimize models for neural network accelerators such as the Apple Neural Engine and mobile GPUs.

Requirements

  • Bachelor’s degree in Computer Science, Machine Learning, or a related discipline.
  • 3+ years of relevant industry experience.
  • Strong machine learning fundamentals and understanding of multimodal large language model architectures.
  • Proven experience writing production code for shipped on-device computer vision or ML features deployed on embedded platforms.
  • Extensive programming experience in Python and C++.
  • Hands-on experience with PyTorch and the end-to-end ML lifecycle, including data preprocessing, training, evaluation, and edge deployment.
  • Experience with Supervised Fine-Tuning pipelines for adapting vision and multimodal foundation models to specialized on-device tasks.
  • Preferred: programming experience with Swift and familiarity with CoreML, CoreFoundation, and RealityKit.
  • Preferred: knowledge of real-time video pipelines, image transformations, and rendering loops.
  • Preferred: experience optimizing models for neural network accelerators.

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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