Junior AI/ML scientist

Company Description Daice Labs, founded by MIT CSAIL scientists, combines research and product innovation to develop hybrid AI systems that are auditable, governable, and adaptive by design. These systems integrate advanced models into frameworks that improve over time, generalize effectively, and explain decisions clearly. Daice Labs fosters collaborative, long-term innovation through a platform that supports shared context, co-ownership, and governed outcomes. The company drives progress through research and product development, enabling adaptive AI systems, advanced system-level governance, and collaborative discovery. Daice Labs strives to empower builders with infrastructure, compute resources, and support on select projects, with distributed ownership at its core.

Role Description This is a full-time remote role for a Junior AI/ML Scientist. Responsibilities include conducting research, implementing and optimizing machine learning models, and contributing to innovative AI systems. The role involves working on pattern recognition tasks, analyzing data, and collaborating with cross-functional teams to design adaptive and explainable solutions. You will also evaluate model performance and contribute to the development of long-term strategies for AI system improvement.

Qualifications Strong foundation in Computer Science and Statistics Experience in Pattern Recognition and Data Science Proven ability to conduct Research and apply findings to practical problems Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch) is advantageous Proficiency in programming languages such as Python or R Strong problem-solving skills and ability to work effectively in remote, collaborative environments Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field is preferred