SWE - Pro Apps ML Ecosystem Engineer

GGD SW's Metal Pro Apps 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. 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.
• 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, managing the relationships, and driving the engineering work

Minimum Qualifications

• Good understanding of machine learning fundamentals.
• GPU compute programming models & optimization techniques.
• GPU compute framework development, maintenance, and optimization.
• Machine learning development using one or more ML frameworks (TensorFlow, PyTorch or JAX).
• Experience with system level programming and computer architecture.

Preferred Qualifications

• Exemplary written and oral communication skills.
• Proven programming and problem-solving skills.