Daice Labs, founded by MIT CSAIL scientists, is at the forefront of building hybrid AI systems that are auditable, governable, and adaptive by design. Our approach integrates research and innovative product development to create systems that generalize reliably, improve over time, and explain decisions. At Daice Labs, we enable long-horizon collaboration and co-creation by providing a comprehensive "Engineering-in-a-Box" platform that supports human teams in supervising, co-building, and co-owning successful outcomes. Our research spans hybrid AI, systems engineering, and adaptive systems to revolutionize productivity and innovation in the era of interconnected systems. We are committed to advancing discoveries and fostering a collaborative ecosystem for building groundbreaking solutions.
This is a full-time, remote internship role for an AI/ML Intern at Daice Labs. The intern will actively contribute to cutting-edge research and development of hybrid AI systems. Responsibilities include developing machine learning models, implementing algorithms, conducting experimental research, analyzing datasets, and collaborating with cross-functional teams. The intern will have the opportunity to work on core AI/ML challenges involving hybrid paradigms, adaptive systems, and systems-level governance while actively participating in the innovation of next-generation technologies.
- Proficiency in Machine Learning, Deep Learning, and Artificial Intelligence concepts
- Experience with programming languages such as Python or frameworks like TensorFlow and PyTorch
- Strong problem-solving skills and ability to construct and train models efficiently
- Background in data preprocessing, feature engineering, and data analytics techniques
- Excellent communication and collaboration skills to work on innovative team-driven goals
- Interest in hybrid AI paradigms, adaptive systems, and collaborative innovation
- Pursuing or recently completed a degree in Computer Science, Engineering, or a related field