Machine Learning Research Intern, Lambda

• BS, MS, or Ph.D. student in Computer Science or related field, focusing on Machine Learning
• Demonstrated project experience or publications in relevant areas
• Proficient in PyTorch or similar frameworks
• Strong communication and collaboration skills
• You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills

Desirable

• Oin Lambda as a Machine Learning Research Intern and help advance the frontiers of generative AI
• You’ll collaborate closely with world-class researchers and engineers, leveraging Lambda’s compute to optimize model and system performance
• Our interns work hands-on across two complementary tracks, Fundamental Research and Applied Research, depending on their interests and experience
• Foundation Models, Multi-Modal, Agents
• System benchmarking and performance optimization
• Track 1: Fundamental Research
• Research in foundation models for language, vision, life sciences and robotics
• Multi-modal research, including building efficient data and evaluation toolkits
• Publish findings in top-tier ML Research conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV/ECCV, ACL, SIGGRAPH), and/or as technical blogs, public datasets, benchmarks, and open-source tools
• Track 2: Applied Research
• Maximize training and inference performance for large-scale AI systems
• Systematic model and agent evaluation
• Publish findings in top-tier ML system conferences (e.g. MLSys, OSDI, SOSP, NSDI), and/or as technical blogs, public dataset, benchmarks, and open-source tools