Senior ML Ecosystem Engineer

Lex; Greater London; In loco; GBP 100.000 - 140.000; Tempo pieno

Descrizione del lavoro

Apple's Metal Pro Apps and ML Ecosystem team seeks an engineer to optimize ML workloads for ANE and GPU silicon in macOS and iOS apps. You will analyze how developers use the ML API, propose optimizations, contribute to open source projects, and host developer sessions to advance ML tooling and performance.

You will be a key advisor for ML app development, including engineering, documentation, training, and maintaining relationships with developers and open source communities.

Competenze

• GPU compute framework development, maintenance, and optimization.
• Proven programming and problem-solving skills.
• Good understanding of machine learning fundamentals.
• Exemplary written and oral communication skills.

Mansioni

• Analyze developers products and report on their use of the ML API, recommending optimizations.
• Contribute platform enablement and optimisations to key open source projects.
• Host developers during in-person engineering sessions.

Conoscenze

GPU compute

Programming skills

ML fundamentals

Communication skills

Strumenti

PyTorch

TensorFlow

JAX

Descrizione del lavoro

Summary

Apple’s Metal Pro Apps Ecosystem team in GPU, Graphics and Displays org provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple for iOS, macOS and Apple TV

Apple’s GPU, Graphics and Displays org provides the graphics software foundation across all of Apple's innovative products, including Mac, iPad, iPhone, and Apple TV. Our responsibilities encompass the frameworks, developer tools, and device drivers for the GPU and Display on Apple’s hardware. MPSGraph provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple to improve the ML inference potential and performance applications on for iOS, macOS and Apple TV.

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. Are you ready to engage with developers to advance their success using Apple’s tools and technologies related to ML? 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. You will be a key source for all aspects of ML application development, including engineering, documentation, training, and relationship management.

Responsibilities

• Support adoption of GPU-accelerated training by 3rd party Apps and key middleware.
• Performing in-depth analysis of an application’s full stack to drive the best possible performance across hardware families.
• Representing Apple to these 3rd party clients and open source communities, managing the relationships, and driving the engineering work

Minimum Qualifications

• GPU compute framework development, maintenance, and optimization.
• Proven programming and problem-solving skills.
• Good understanding of machine learning fundamentals.
• Exemplary written and oral communication skills.

Preferred Qualifications

• 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.

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Role Number: 200655438-2114