Machine Learning Research Intern, Lightmatter

• 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

Desirable

• 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
• Research and stay current on the latest advancements in Machine Learning systems and models, particularly Large Language Models (LLMs)
• Develop and utilize tools to model the performance of Lightmatter-enabled systems running various training and inference workloads
• Collaborate on the design of compelling reference platforms systems powered by Lightmatter technology
• Work towards publishing academic papers at top industry conferences or journals, and assist in creating whitepapers, blog posts, and other technical collateral