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Software Engineer, R&D

Daice Labs
Department:Software Engineer
Type:REMOTE
Region:USA
Location:Boston, MA
Experience:Entry level
Estimated Salary:$80,000 - $120,000
Skills:
BACK-END WEB DEVELOPMENTSOFTWARE DEVELOPMENTOBJECT-ORIENTED PROGRAMMINGAIMACHINE LEARNINGDATABASE CREATIONPROGRAM SYNTHESISHYBRID AI FRAMEWORKSSYSTEM-LEVEL DESIGN
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Job Description

Posted on: October 22, 2025

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 to our R&D Adapting machines Lab. 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 context 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
Originally posted on LinkedIn

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