← All roles

Machine Learning Systems Engineer – Video Computer Vision

Apple· Video Computer Vision (VCV)
Apply on company site
Sunnyvale, CA$150.4k - $277.6kFull-timePosted 1mo ago

About the role

Machine Learning Systems Engineer to train, evaluate, and deploy purpose-built vision models on Apple hardware, developing techniques to optimize model performance, efficiency, and scalability under on-device constraints.

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++PyTorchSwiftCoreML

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Educational expense reimbursement (tuition)
  • Discretionary bonuses or commission payments (where applicable)
  • Relocation assistance (where eligible)
  • Stock programs including discretionary RSUs and Employee Stock Purchase Plan
Last updated Sep 4, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

AirPods Max 2Apple ArcadeApple CardApple Fitness+Apple MusicApple TVApple TV+Apple Watch Series 11
Company profileWebsite

More open roles at Apple