Daice Labs

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 architectures. Our name Pronounced "dice." Dice evokes exploration; for us it's programmable adaptation. Two meanings. 1) DAICE = Data-driven AI for Context-aware Evolution. 2) Dais = or stage--an integrative platform for co-builders. Two focus tracks 1) Product Lab Building a collaboration platform where human teams co-build with hybrid AI. Features: shared context fabric, role-based models (ops, finance, R&D, commerce), vertical applications composed into a business-in-a-box, and co-ownership ledger audits for governance. 2) AI Research Lab Our lab investigates how principles of natural intelligence can guide the design of hybrid AI architectures. For example, living systems excel at "coordinated collaboration" via specialized structures or scaffolds. We believe that mimicking their system-level design will unlock new frameworks for AI generalization. - Translating biological, cellular, and evolutionary principles into system design. - Advancing perturbation-aware learning and rule-guided frameworks. - Developping cell-inspired architectures for guided program synthesis. The next Leap We believe that the next leap in productivity comes from collaboration--human teams and specialized AIs co-building on shared context, pushing boundaries for adaptation together. Interested? We're hiring-get in touch!

Listed Jobs

Company Name

Daice Labs

Job Title

Software Engineer

Job Description

Job Title: Software Engineer Role Summary: Design, develop, and maintain high‑quality backend web applications and hybrid AI solutions in a fully remote, full‑time capacity. Lead implementation of object‑oriented designs, participate in code reviews, and collaborate cross‑functionally to deliver product enhancements. Expectations: - Deliver robust, scalable software that meets performance and reliability standards. - Work independently while effectively communicating progress and challenges. - Translate theoretical insights into functional code and documentation. Key Responsibilities: - Develop and maintain backend services, APIs, and database schemas. - Apply object‑oriented programming principles to design clean, modular code. - Conduct peer code reviews and enforce coding standards. - Integrate machine learning components into hybrid AI frameworks. - Document architecture, APIs, and usage guidelines. - Collaborate with product, data, and research teams to define requirements and prioritize features. Required Skills: - Strong foundation in Computer Science and software engineering principles. - Proficiency in backend web development (e.g., Node.js, Python, Java). - Expertise in object‑oriented programming. - Experience with database creation, management, and optimization. - Problem‑solving abilities and independent work ethic. - Effective communication and collaboration skills. - Familiarity with AI/ML concepts, program synthesis frameworks, and hybrid AI integration. - Knowledge of prompt engineering tools (e.g., Codex, LangChain) and associated libraries. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. - Relevant certifications in backend development, AI/ML, or database administration preferred but not mandatory.

Boston, United states

Remote

28-09-2025

Company Name

Daice Labs

Job Title

Junior AI/ML engineer, R&D

Job Description

**Job Title:** Junior AI/ML Engineer, R&D **Role Summary:** Junior AI/ML Engineer in R&D department responsible for developing hybrid AI/ML algorithms, researching methodology improvements, and integrating systems with cross-functional teams. Focus on LLM/DL frameworks, symbolic reasoning, and evaluation benchmark design. **Expectations:** - Develop and implement AI/ML algorithms. - Conduct research on novel AI methodologies. - Apply statistical models to enhance hybrid AI systems. - Design and optimize evaluation benchmarks. - Collaborate with cross-functional teams to integrate AI solutions. **Key Responsibilities:** - Analyze data to identify patterns and inform model development. - Build hybrid AI architectures combining LLMs/DL and symbolic reasoning. - Design efficient evaluation metrics for model performance. - Support integration of AI/ML solutions into broader R&D projects. **Required Skills:** - Strong foundation in computer science principles. - Knowledge of machine learning algorithms, LLMs, and agentic architectures. - Proficiency in statistics and mathematical modeling. - Python programming and ML stack toolkit experience (e.g., TensorFlow, PyTorch). - Problem-solving skills and ability to work independently. - Written and verbal communication for collaborative work. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field. - Certifications not required.

Boston, United states

Remote

Junior

17-10-2025

Company Name

Daice Labs

Job Title

Data Analyst, R&D

Job Description

**Job Title**: Data Analyst, R&D **Role Summary**: Analyze complex datasets and apply statistical techniques to support development of hybrid AI architectures by integrating LLMs/DL with symbolic reasoning and bio-inspired design. Contribute to understanding how natural intelligence principles guide AI systems innovation. **Expectations**: Strong analytical skills, data analytics experience, proficiency in statistics and data modeling, remote collaboration, and clear communication of technical findings. **Key Responsibilities**: Collect, clean, and interpret datasets; develop data models; apply statistical analysis to uncover insights; communicate results to stakeholders; support R&D initiatives in hybrid AI design. **Required Skills**: Analytical thinking, data analysis, statistical modeling, data visualization, SQL/Python, AI/ML frameworks (preferred), cross-functional teamwork. **Required Education & Certifications**: Bachelor’s/Master’s in Data Science, Statistics, Computer Science, or related field.

Boston, United states

Remote

16-10-2025

Company Name

Daice Labs

Job Title

Junior Software Engineer, R&D

Job Description

**Job Title:** Junior Software Engineer, R&D **Role Summary:** Full‑time remote developer focused on backend web services and hybrid AI integration. Responsibilities include designing, coding, testing, and maintaining high‑quality software components that support cross‑functional AI and platform services. **Expectations:** - Deliver functional code within sprint cycles. - Collaborate with research and engineering teams to integrate AI modules into production. - Maintain clean, well‑documented code and contribute to repository standards. **Key Responsibilities:** - Implement backend features, APIs, and micro‑service components. - Write unit, integration, and performance tests; perform debugging and code optimization. - Configure CI/CD pipelines and monitor deployments (cloud, containers). - Integrate AI frameworks, agents, and prompt‑engineering workflows into existing platforms. - Manage database schemas (SQL or equivalent) and ensure data integrity. - Participate in code reviews, architecture discussions, and sprint planning. **Required Skills:** - Strong grasp of CS fundamentals (data structures, algorithms). - Proficiency in OOP and at least one backend language (Python, Java, Go, Node.js). - Experience with RESTful APIs, database design, and SQL. - Familiarity with cloud services (AWS/GCP/Azure) and container orchestration (Docker, Kubernetes). - Hands‑on CI/CD (GitHub Actions, Jenkins, etc.) and monorepo workflows. - Knowledge of AI or hybrid system concepts is a plus; exposure to prompt/context engineering acceptable. - Excellent problem‑solving, analytical, and communication skills. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or related field. - Relevant industry certifications (e.g., AWS Certified Developer – Associate, Google Associate Cloud Engineer) are beneficial but not mandatory.

Boston, United states

Remote

Junior

18-10-2025