Daice Labs · 4 days ago
AI/ML intern
Daice Labs, founded by MIT CSAIL scientists, tackles the limitations of current AI by designing hybrid systems that generalize, adapt, and explain their decisions. The AI/ML Intern will collaborate with research and engineering teams to design, develop, and test innovative hybrid AI models while contributing to the development of the 'Digital Cells' and Cofabric platform.
Research
Responsibilities
Conducting data analysis
Implementing machine learning and natural language processing (NLP) algorithms
Building and optimizing models
Contributing to the development of our 'Digital Cells' and Cofabric platform
Qualification
Required
Proficiency in foundational AI/ML concepts, including supervised and unsupervised learning, reinforcement learning, and neural networks
Experience with hands-on programming and development in Python, along with familiarity with AI/ML libraries like TensorFlow or PyTorch
Knowledge of natural language processing (NLP) techniques, symbolic reasoning, or hybrid AI systems
Strong problem-solving, analytical, and research skills with the ability to adapt to novel challenges
Understanding of data processing, data analysis, and algorithms optimization
Currently pursuing or recently completed a degree in computer science, artificial intelligence, machine learning, or a related field
Preferred
Experience with AI system auditing, reinforcement learning, evolutionary search, symbolic techniques, and guided program synthesis
Company
Daice Labs
The Problem Current AI shines on benchmarks but breaks in the wild—brittle under distribution shift, costly to retrain, hard to audit, and hard to adapt.
Funding
Current Stage
Early StageCompany data provided by crunchbase