Daice Labs is building hybrid AI frameworks that integrate today's models into systems that learn continuously. The company focuses on building new architectures by combining LLMs/DL with symbolic reasoning and bio-inspired system design. The Product Lab develops industry-specific solutions for collaborative human teams + AI co-building and co-owning vertical applications, while the Research Lab explores how principles of natural intelligence can guide systems design of new hybrid AI architectures. The Applied AI Engineer Intern will assist in the research and development of these hybrid AI systems.
Requirements
- Pattern Recognition and Neural Networks skills
- Strong background in Computer Science and Software Development
- Experience with Natural Language Processing (NLP)
- Proficiency in machine learning (ML) Algorithms (proficiency in python and ML-stack languages)
- Strong in TypeScript + Python (Go a plus)
- Experience in Containers and quotas
- Experience in Observability, Postgres, Redis; message queues
Responsibilities
- assisting in the research and development of hybrid AI systems, focusing on pattern recognition, neural networks, natural language processing (NLP), and software development.
- implementing and testing AI models
- conducting research on AI frameworks
- collaborating with the team to develop innovative AI solutions.
- Experience building ML platforms/dev‑tools; you’ve developed agentic systems, sandboxes, or orchestration systems
- API design, JSON Schema
- Experience in Evaluation; you’ve built golden sets, regressions, drift detection, and gates for ML/agents
Other
- Excellent problem-solving skills and ability to work independently
- Strong communication and collaboration skills
- Interest in hybrid AI frameworks
- Currently pursuing or recently completed a degree in Computer Science, Engineering, or a related field
- Experience in Security & privacy chops (network allow‑lists and auditability)
