Pro Apps ML Ecosystem Engineer at Apple

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

01 Jul, 26

Salary

0.0

Posted On

02 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

GPU compute, Machine learning, Metal, Optimization, System level programming, Computer architecture, PyTorch, TensorFlow, JAX, Algorithm development, Software engineering, Technical documentation, Relationship management, Problem-solving, Communication skills

Industry

Computers and Electronics Manufacturing

Description

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. 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.

Responsibilities

Analyze developer products to provide optimization recommendations for ML APIs and algorithms. Contribute to open-source projects and host engineering sessions to support developers in using Apple's ML tools.