Job Description & How to Apply Below
Daice Labs, founded by MIT CSAIL scientists, is dedicated to developing hybrid AI systems that excel in real-world applications. These innovative systems are designed to be adaptive, auditable, and governable, integrating cutting-edge AI models with a robust framework for collaborative and sustainable progress. The company aims to enable long-term success through shared context, advanced collaboration tools, and system-level governance. Daice Labs also sponsors select projects, offering infrastructure, compute resources, and support while ensuring majority ownership remains with the original builders.
Join us in creating technology that empowers innovation and exploration.
Role Description
The AI/ML Intern at Daice Labs will contribute to the research and development of hybrid AI systems, focusing on adaptive algorithms, data analysis, and model optimization. Day-to-day responsibilities include developing and implementing machine learning models, conducting experiments, analyzing results, and collaborating closely with a multidisciplinary team. As a full-time remote role, this position offers flexibility while providing an opportunity to work on impactful innovation.
Qualifications
- Proficiency in machine learning, deep learning, and statistical modeling
- Experience in programming languages such as Python, or similar, with familiarity in frameworks like Tensor Flow, PyTorch, or Scikit-learn
- Strong understanding of algorithm design, data structures, and problem-solving techniques
- Ability to preprocess, analyze, and visualize complex datasets
- Experience in applying AI/ML models to real-world problems and improving system performance
- Strong collaboration skills with the ability to work in a multidisciplinary and remote team environment
- Enrollment in or recent completion of a degree in Computer Science, Engineering, Data Science, or related field
- Passion for building innovative AI technologies and contributing to projects that drive meaningful impact
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