Senior ML Ecosystem Engineer — GPU & ML Apps

Apple Inc.; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

GGML's Metal Pro Apps and ML Ecosystem team is now seeking a world-class, driven, and dedicated engineer to work alongside developers to integrate and optimize ML workloads for Apple’s ANE and GPU silicon into their macOS and iOS applications.

You will analyze developers' products and report on their use of the ML API, recommending optimizations, contribute platform enablement and improvements to key open source projects, and host developers during in-person engineering sessions, becoming a key

Qualifications

• Experience with GPU compute frameworks and optimization.
• Strong programming & problem-solving abilities.
• Solid understanding of machine learning fundamentals.
• Excellent written and verbal communication skills.

Responsibilities

• Analyze developers' products and report ML API usage, recommending optimizations.
• Contribute platform enablement and optimisations to key open source projects.
• Host developers during in-person engineering sessions.
• Support ML app development with documentation, training, and relationship building.

Skills

GPU compute framework development

Proven programming & problem-solving

Machine learning fundamentals

Written & verbal communication

Job description

GGML's Metal Pro Apps and ML Ecosystem team is now seeking a world-class, driven, and dedicated engineer to work alongside developers to integrate and optimize ML workloads for Apple’s ANE and GPU silicon into their macOS and iOS applications.

You will analyze developers' products and report on their use of the ML API, recommending optimizations, contribute platform enablement and improvements to key open source projects, and host developers during in-person engineering sessions, becoming a key