Skills

Communication Problem-solving Research Machine Learning Deep Learning Programming Software Development Web Development

Job Specifications

Company Description

Daice Labs, founded by MIT CSAIL scientists, pioneers in hybrid AI paradigms that combine deep learning with symbolic reasoning and bio-inspired system design. Our mission is to create adaptive AI systems that learn continuously and can generalize, delivering architectures that are robust and adaptable. We operate two main branches: Product Lab, which develops a collaborative platform where human teams + AI co-build, execute workflows, and co-own value. an AI Research Lab, which explores principles of natural intelligence to enhance hybrid AI design.

Join us in creating the next leap in AI productivity through collaborative innovation.

Role Description

This is a full-time remote role for a Software Engineer. The Software Engineer will be responsible for designing, developing, and maintaining software applications. They will work on back-end web development, programming, and implementing object-oriented programming principles. This role involves collaborating with cross-functional teams to deliver high-quality software solutions, participating in code reviews, and enhancing product features.

Qualifications

Strong foundation in Computer Science
Proficiency in Back-End Web Development and Software Development
Programming and Object-Oriented Programming (OOP).
Excellent problem-solving skills and the ability to work independently
Effective collaboration and communication skills
Experience with AI and machine learning is a plus.
Experience in prompt engineering, cursor, windsurf, codex or similar.
Experience in database creation and maintenance
Software documentation of previous projects.
Ability to translate mathematical insights into software.
Bachelor's or Masters' degree in Computer Science, Software Engineering, or a related field.
Experience in program synthesis frameworks.
Experience in developing hybrid ai frameworks where machine learning composites are integrated.
Experience in system-level design inspired by biological or natural principles is a bonus

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