AI/ML intern

Daice Labs, founded by MIT CSAIL scientists, focuses on building hybrid AI systems that are auditable, governable, and adaptive. These composite architectures integrate frontier AI models into systems capable of improving over time, generalizing reliably, and making transparent decisions. Daice Labs combines cutting-edge research and product innovation to accelerate discovery and long-horizon collaboration through shared context, governed systems, and co-ownership. By providing infrastructure, compute, and support, the company empowers builders to create transformative products while maintaining majority ownership. The company operates at the forefront of AI, focusing on system strategy and adaptive AI to address complex challenges.

This is a full-time, remote AI/ML Intern role. The AI/ML Intern will assist with developing and implementing machine learning models, analyzing large datasets, and conducting research on hybrid AI systems. Additional responsibilities include assisting in the design of adaptive systems, supporting ongoing R&D initiatives, and contributing to the development of innovative products and solutions. This role offers the opportunity to collaborate on cutting-edge AI projects and gain practical experience in high-impact domains.

• Familiarity with machine learning, AI systems, and algorithm development
• Proficiency in programming languages such as Python; experience with frameworks like TensorFlow or PyTorch
• Strong analytical skills with expertise in data processing, feature engineering, and statistical analysis
• Understanding of hybrid AI systems, composite architectures, or adaptive systems is a plus
• Ability to work in a collaborative, interdisciplinary, and remote environment
• Pursuing or recently completed a degree in Computer Science, Data Science, Machine Learning, or a related field