Daice Labs is looking to solve the problem of building hybrid AI frameworks that integrate today's models into systems that learn continuously, focusing on pattern recognition, neural networks, natural language processing (NLP), and software development.
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; API design, JSON Schema
- Experience in Containers and quotas, Observability, Postgres, Redis
- Experience in Evaluation; you’ve built golden sets, regressions, drift detection, and gates
Responsibilities
- Implementing and testing AI models
- Conducting research on AI frameworks
- Collaborating with the team to develop innovative AI solutions
- Assisting in the research and development of hybrid AI systems
- Developing industry-specific solutions for collaborative human teams + AI co-building and co-owning vertical applications
- Exploring how principles of natural intelligence can guide systems design of new hybrid AI architectures
- Building ML platforms/dev-tools
Other
- Currently pursuing or recently completed a degree in Computer Science, Engineering, or a related field
- Being a PhD student is a plus
- Excellent problem-solving skills and ability to work independently
- Strong communication and collaboration skills
- Interest in hybrid AI frameworks
