Pro Apps ML Ecosystem Engineer, Graphics, Games, & ML
SKILLS
FULL DESCRIPTION
Pro Apps ML Ecosystem Engineer, Graphics, Games, & ML
[Employer hidden — sign up to reveal]'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 [Employer hidden — sign up to reveal] for iOS, macOS and [Employer hidden — sign up to reveal] TV. [Employer hidden — sign up to reveal]'s GPU, Graphics and Displays org provides the graphics software foundation across all of [Employer hidden — sign up to reveal]'s innovative products, including Mac, iPad, iPhone, and [Employer hidden — sign up to reveal] TV. Our responsibilities encompass the frameworks, developer tools, and device drivers for the GPU and Display on [Employer hidden — sign up to reveal]'s hardware. MPSGraph provides a suite of high-performance data parallel algorithms for developers inside and outside of [Employer hidden — sign up to reveal] to improve the ML inference potential and performance applications on for iOS, macOS and [Employer hidden — sign up to reveal] 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 [Employer hidden — sign up to reveal]'s ANE and GPU silicon into their macOS and iOS applications. Are you ready to engage with developers to advance their success using [Employer hidden — sign up to reveal]'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 [Employer hidden — sign up to reveal] 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.
[Employer hidden]'s Commitment
At [Employer hidden — sign up to reveal], 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. [Employer hidden — sign up to reveal] will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law.
At [Employer hidden — sign up to reveal], we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.