Machine Learning Research Intern

Currently pursuing a PhD in Computer Science, Electrical Engineering, or a closely related field.

Solid academic or research background in Machine Learning systems research, including experience with performance evaluation and modeling.

Hands-on experience with machine learning/deep learning methods and knowledge of Large Language Model training and inference frameworks.

Familiarity with modern AI systems infrastructure, including compute (e.g., GPUs, TPUs) and networking technologies (e.g., Ethernet, Infiniband) and their various topologies and trade-offs.

Demonstrated ability to independently own a research project and drive it from concept to completion within the internship period.

Lightmatter is seeking a PhD Intern to join our Machine Learning team. This internship offers a unique opportunity to contribute to the invention of novel hardware systems utilizing Lightmatter's cutting-edge technology and to model their performance on both training and inference workloads.

This is a highly creative and impactful role where you'll be encouraged to think outside the box, pushing the boundaries of ML systems research by leveraging the power of silicon photonics. You'll work closely with our product, solutions architecture, and engineering teams, contributing to:

Performance analysis of Lightmatter-enabled systems.

The design of high-performance, rack-scale platforms.

The generation of cutting-edge ML systems research.