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Machine Learning Systems Engineer – Video Computer Vision

Apple· Video Computer Vision (VCV)
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Sunnyvale, California$150.4k - $277.6kFull-timePosted 1mo ago

About the role

Machine Learning Systems Engineer role in Apple's Video Computer Vision group focused on training, evaluating, and deploying on-device vision/models, optimizing performance under on-device constraints, and collaborating across teams to deliver Apple-quality computer vision features.

Responsibilities

  • Develop on-device software that bridges multimodal AI models and computer vision technologies with production systems deployed across Apple devices.
  • Optimize on-device inference latency, memory footprint, and computational efficiency of CV/ML models.
  • Benchmark, profile, and evaluate the power consumption and thermal performance of models running on Apple silicon.
  • Engage with cross-functional teams to understand and influence requirements, brainstorm the solution space, and propose, design and implement debuggable and maintainable Computer Vision systems meeting requirements.
  • Design experiments and evaluations to understand quality and on-device deployment tradeoffs, driving informed system design decisions.
  • Debug concurrent systems on embedded devices via a variety of existing tools and techniques; develop innovative debug tools and visualizations when existing ones don't fit the bill.

Qualifications

  • Bachelor’s degree in Computer Science, Machine Learning, or a related discipline, and 3+ years of relevant industry experience.
  • Strong ML fundamentals.
  • Proven track record of writing high-quality production code for shipped on-device CV/ML features deployed on embedded platforms
  • Solid understanding of operating system fundamentals and extensive programming experience in Python and C++.
  • Hands-on experience with PyTorch and familiarity with the end-to-end ML lifecycle (data preprocessing, training, evaluation, and edge deployment).
  • Experience with Supervised Fine-Tuning (SFT) pipelines to adapt vision and multimodal foundation models for specialized, on-device downstream tasks.
  • Robust foundational understanding of machine learning architectures, specifically Multimodal LLMs and the integration of ML components into complex production systems.
  • Programming experience with Swift and familiarity with CoreML, CoreFoundation, and RealityKit frameworks.
  • Fundamental knowledge of real-time video pipelines, image transformations, and rendering loops.
  • Experience optimizing models for neural network accelerators (e.g., Apple Neural Engine or mobile GPUs).

Skills

Required:PythonC++PyTorchSFT pipelines
Nice to have:Swift

Benefits

  • Comprehensive medical and dental coverage, retirement benefits, discounts on products and free services, reimbursement for certain educational expenses (tuition).
  • Discretionary bonuses or commission payments possible, relocation assistance, and employee stock programs (RSUs, ESPP).
Last updated Sep 4, 2026. Interested? Apply on the company site.

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