Artificial Intelligence Engineer

1 week ago

Singapur, Singapore ByteGenie Full time

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

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