Machine Learning Research Intern

Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads. Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter! If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders. Lightmatter is (re)inventing the future of computing with light! About the Role 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. Responsibilities 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. Minimum Qualifications 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. Preferred Attributes Prior academic publications in relevant venues are a strong plus. A demonstrated ability for creative problem-solving and applying first-principles thinking to generate novel ideas in an ambiguous environment. Excellent skills in communicating complex research and technical concepts clearly and effectively. A strong desire to collaborate across research and engineering functions to bridge gaps and accelerate outcomes. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience. Hourly Rate in USD $60—$65 USD Benefits Comprehensive Health Care Plan (Medical, Dental & Vision) Retirement Savings Matching Program Life Insurance (Basic, Voluntary & AD&D) Generous Time Off (Vacation, Sick & Public Holidays) Paid Family Leave Short Term & Long Term Disability Training & Development Commuter Benefits Flexible, hybrid workplace model Equity grants (applicable to full-time employees) Benefits eligibility may vary depending on your employment status and location. Lightmatter recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. Export Control Candidates should have capacity to comply with the federally mandated requirements of U.S. export control laws.