Internship - Pro Apps Machine Learning Ecosystem Engineer

Apple•Published 1 hours ago•First seen 1 hours ago

Summary

Apple's Metal Pro Apps Ecosystem team, within the Graphics, Games, and Machine Learning (GGML) organization, develops a suite of high-performance data-parallel algorithms used by developers across Apple platforms—including iOS, macOS, and Apple TV.

This organization builds the graphics software foundation for all of Apple’s cutting-edge products. Our work spans frameworks, developer tools, and GPU and display drivers optimized for Apple hardware. Through technologies like CoreML and MPSGraph, we empower developers to improve the performance and potential of machine learning inference and training in their application

Description

GGML's Metal Pro Apps Ecosystem team is now seeking an extraordinary, 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. As an intern you will analyze developers products and report on their use of the ML APIs; recommending optimizations, algorithms, and techniques to improve their applications. You will also be a key source for all aspects of ML application development, including engineering, documentation, training, and relationship management. Are you ready to engage with developers to advance their success using Apple’s tools and technologies related to ML?

Responsibilities

Support adoption of GPU-accelerated inference and 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, maintaining the relationships, and driving the engineering work

Minimum Qualifications

Outstanding written and oral communication skills.
Proven C++ programming and problem-solving skills.
Good understanding of machine learning fundamentals.
Machine learning development using one or more ML frameworks (PyTorch, TensorFlow, JAX).

Preferred Qualifications

At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more