About the job
Company Description Daice Labs, founded by MIT CSAIL scientists, is devoted to developing hybrid AI systems that are auditable, governable, and adaptive. We aim to solve real-world challenges with frontier AI technology by integrating cutting-edge models into systems that improve over time, generalize reliably, and explain decisions. Our platform enables human teams to co-build and co-own innovative, long-term projects with tools for collaboration, governance, and system-level adaptability. Role Description We are seeking a full-time Junior AI Engineer to join our team remotely. In this role, you will contribute to developing and improving hybrid AI systems, designing solutions that integrate state-of-the-art machine learning models with adaptive frameworks. Responsibilities include building, testing, and optimizing AI models, developing robust software solutions, and collaborating with cross-functional teams. You will also work on projects involving pattern recognition, neural networks, and natural language processing (NLP) to enhance the capabilities of AI-driven systems. Qualifications • A strong foundation in Computer Science concepts and Software Development principles. • Experience with Pattern Recognition and Neural Networks. • Knowledge of Natural Language Processing (NLP) and its applications in AI. • Proficiency with coding in at least one programming language, such as Python, Java, or C++. • Ability to contribute to innovative AI-driven projects and solve real-world challenges through research. • Strong problem-solving skills and the ability to work collaboratively with cross-functional teams. • Familiarity with AI ethics, governance, and adaptive systems is a plus. • Degree in Computer Science, Artificial Intelligence, or a related field; a focus on AI or machine learning is preferred.
Requirements
- Machine Learning
- Pattern Recognition
- Neural Networks
- Natural Language Processing
- Python
- Java
- C++
Qualifications
- Degree in Computer Science, Artificial Intelligence, or a related field
Preferred Technologies
- Machine Learning
- Pattern Recognition
- Neural Networks
- Natural Language Processing
- Python
- Java
- C++
About the company
Daice Labs, founded by MIT CSAIL scientists, is devoted to developing hybrid AI systems that are auditable, governable, and adaptive. We aim to solve real-world challenges with frontier AI technology by integrating cutting-edge models into systems that improve over time, generalize reliably, and explain decisions. Our platform enables human teams to co-build and co-own innovative, long-term projects with tools for collaboration, governance, and system-level adaptability.
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