Skills

Communication Python TypeScript Problem-solving Research Machine Learning Software Development Redis Natural Language Processing PostGres NLP

Job Specifications

Company Description

Daice Labs is building hybrid AI frameworks that integrate today's models into systems that learn continuously. Founded by MIT CSAIL scientists, we focus on building new architectures by combining LLMs/DL with symbolic reasoning and bio-inspired system design. Operating on two tracks, our Product Lab develops industry-specific solutions for collaborative human teams + AI co-building and co-owning vertical applications, while our Research Lab explores how principles of natural intelligence can guide systems design of new hybrid AI architectures.

Join us in taking the next leap in productivity through collaborative innovation.

Role Description

This is a full-time remote role for an AI Engineer Intern. The intern will be responsible for assisting in the research and development of hybrid AI systems, focusing on pattern recognition, neural networks, natural language processing (NLP), and software development. Day-to-day tasks include implementing and testing AI models, conducting research on AI frameworks, and collaborating with the team to develop innovative AI solutions.

Qualifications

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)
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. Being a PhD student is a plus.
Experience building ML platforms/dev‑tools; you’ve developed agentic systems, sandboxes, or orchestration systems
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 for ML/agents
Experience in Security & privacy chops (network allow‑lists and auditability)

About the Company

Daice Labs -- Digital co-builders engineering adaptation The Problem Current AI shines on benchmarks but breaks in the wild--brittle under distribution shift, costly to retrain, hard to audit, and slow to adapt. The need? new hybrid paradigms that integrate today's models into systems that learn continuously, generalize, and explain their decisions. Approach Founded by MIT CSAIL scientists, we build hybrid/composite frameworks that combine LLMs/DL with symbolic reasoning and bio-inspired system design to deliver new architec... Know more