Get AI-powered advice on this job and more exclusive features.
We are a deep-tech AI startup backed by Accelerating Asia and Ignition AI Accelerator , on a mission to revolutionise enterprise AI through a new generation of symbolic, self-supervising AI systems .
The Role
We are seeking an AI Engineer to join our core research and development team in Singapore.
You will play a central role in building the next generation of symbolic AI systems — developing and integrating first-principles reasoning, knowledge graphs, and self-supervised symbolic learning.
Your work will directly contribute to advancing the frontiers of enterprise AI for high-impact domains such as finance, procurement, scientific discovery, and strategic planning.
Responsibilities
- Design and implement core modules that enable symbolic reasoning and graph-based inference on structured and semi-structured data.
- Develop and optimize algorithms for graph construction , and reasoning over large-scale knowledge graphs .
- Contribute to internal evaluation frameworks for model training and validation.
- Contribute to the deployment of models on various cloud platforms, and in-house infrastructure.
- Participate in cross‑functional research involving symbolic AI, causal inference, and interpretable graph neural networks.
Qualifications
- Master’s degree (or higher) in Artificial Intelligence, Computer Science, Applied Mathematics, or related STEM field.
- Strong understanding of machine learning fundamentals, with an interest in symbolic or hybrid (symbolic + neural) AI approaches .
- Experience with graph-based models , graph neural networks (GNNs) , or graph analytics frameworks (e.g., Neo4j, NetworkX, PyTorch Geometric, DGL, cuGraph).
- Proficiency in Python and familiarity with key ML and graph libraries (PyTorch, TensorFlow, scikit‑learn, etc.).
- Strong background in data structures , logic , or algorithmic reasoning .
- Ability to think abstractly about systems that model relationships, dependencies, and causality.
- Excellent problem‑solving and collaboration skills, with a deep curiosity for interpretable, self‑improving AI systems .
- Must be a Singaporean citizen or permanent resident .
Preferred Experience (Bonus)
- Experience with knowledge graphs or ontological data representation .
- Familiarity with symbolic logic , constraint satisfaction , or causal modelling .
- Exposure to enterprise automation , data pipelines , or simulation systems .
- Background in reinforcement learning , energy‑based models , or neurosymbolic AI is a plus.
- Strong mathematical foundation in graph theory , probability , or information theory .
Why Join Us
- Be part of the core founding team shaping a new AI paradigm.
- Work on frontier research problems that tackle some of the hardest challenges in artificial intelligence.
- Build technology that defines the future of enterprise reasoning .
- Be part of a globally ambitious AI startup based in Singapore.
#J-18808-Ljbffr