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Senior ML Ecosystem Engineer

Apple· Software and Services
Apply on company site
Hybrid (London)unknownPosted 2w ago

About the role

Role within GGML's Metal Pro Apps and ML Ecosystem team to integrate and optimize ML workloads for Apple’s ANE and GPU silicon in macOS and iOS applications; engage with developers, contribute platform enablement, and drive ML-related engineering, documentation, training, and relationship management.

Responsibilities

  • Analyze developers products and report on their use of the ML API, recommending optimizations, algorithms, and techniques to improve their applications.
  • Contribute platform enablement and optimisations to key open source projects.
  • Host developers during in-person engineering sessions.
  • Be a key source for all aspects of ML application development, including engineering, documentation, training, and relationship management.
  • Support adoption of GPU-accelerated training by 3rd party Apps and key middleware.
  • Perform in-depth analysis of an application’s full stack to drive the best possible performance across hardware families.
  • Represent Apple to these 3rd party clients and open source communities, managing the relationships, and driving the engineering work
  • GPU compute framework development, maintenance, and optimization.

Qualifications

  • Proven programming and problem-solving skills.
  • Good understanding of machine learning fundamentals.
  • Exemplary written and oral communication skills.
  • GPU compute programming models & optimization techniques.
  • Machine learning development using one or more ML frameworks (PyTorch, TensorFlow, or JAX).
  • Experience with system level programming and computer architecture.

Skills

Required:Proven programming and problem-solving skillsMachine learning fundamentalsCommunication (written and oral)GPU compute programming models & optimization techniquesML frameworks (PyTorch, TensorFlow, or JAX)System level programming
Last updated Oct 9, 2026. Interested? Apply on the company site.

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