Job Description
**Weekly Hours:** 40
**Role Number:** 200642560-0836
**Summary**
Apple’s ML Frameworks (MetalLM) team in GPU, Graphics and Machine Learning works on enabling Apple Intelligence through high-performance, distributed inference of GenAI applications (such as LLMs) on Private Cloud Compute. You will get to work on custom-built server hardware that brings the power and security of Apple silicon to the data center.
Team also works on GPU acceleration of ML Training frameworks such as PyTorch and JAX using Metal runtime and device backend. We are looking for engineers with systems background who are deeply passionate about building scalable, efficient, and production-grade solutions tailored for high-throughput GPU execution.
**Description**
Our team is seeking extraordinary machine learning and GPU programming engineers who are passionate about providing robust compute solutions for accelerating Machine learning libraries on Apple Silicon. Role has the opportu...
**Role Number:** 200642560-0836
**Summary**
Apple’s ML Frameworks (MetalLM) team in GPU, Graphics and Machine Learning works on enabling Apple Intelligence through high-performance, distributed inference of GenAI applications (such as LLMs) on Private Cloud Compute. You will get to work on custom-built server hardware that brings the power and security of Apple silicon to the data center.
Team also works on GPU acceleration of ML Training frameworks such as PyTorch and JAX using Metal runtime and device backend. We are looking for engineers with systems background who are deeply passionate about building scalable, efficient, and production-grade solutions tailored for high-throughput GPU execution.
**Description**
Our team is seeking extraordinary machine learning and GPU programming engineers who are passionate about providing robust compute solutions for accelerating Machine learning libraries on Apple Silicon. Role has the opportu...