Company Description
Daice Labs addresses the challenges of AI systems failing under real-world conditions by developing innovative, hybrid AI systems. Founded by MIT CSAIL scientists, the company focuses on creating auditable, governable, and adaptive AI solutions through the integration of advanced models and system-level governance. Daice Labs offers a collaborative platform that combines adaptive AI and "Engineering-in-a-Box" workflows for long-term innovation and governed outcomes. The company invests in cutting-edge research and supports select projects with infrastructure, compute resources, and sponsorship, empowering builders to co-create and push boundaries.
Role Description
This is a full-time remote role for a Junior AI/ML Engineer. The engineer will assist in designing, developing, and implementing hybrid AI and machine learning systems. The role involves contributing to model building, working on algorithm optimization, addressing challenges with adaptive systems, and collaborating with cross-functional teams to ensure effective governance and adaptability of AI systems.
Qualifications
- Strong foundation in Computer Science, Algorithms and programming.
- Background in Statistics and Pattern Recognition to analyze and interpret data effectively
- Hands-on experience or knowledge of Machine Learning techniques
- Familiarity with systems-based approaches and adaptive AI technologies is a plus
- Excellent problem-solving skills and the ability to work collaboratively
- Bachelor's degree in Computer Science, Mathematics, or a related technical field