AI Researcher

About Smart BricksSmart Bricks is a frontier AI lab building autonomous reasoning systems that allow capital to discover, evaluate, and transact assets end-to-end. We sit at the intersection of frontier AI research and one of the world's largest and most data-rich industries - and we are building infrastructure that compounds in capability with every decision the system processes. Research here is not academic - it goes directly into production and has real consequences at scale.About The RoleAs an AI Researcher at Smart Bricks, you will advance the research agenda of our model and intelligence layer - discovering approaches that work at scale and taking them from idea to production. We are looking for people who want to work on problems that are both technically interesting and commercially consequential. You will own a research agenda, collaborate closely with engineering to take your work to production, and contribute to a broader vision of what intelligent autonomous systems can do.What You Will Work OnResearching and developing new model architectures for prediction, classification, and decision-support tasks operating on proprietary structured, unstructured, and visual dataExploring and advancing graph neural network architectures for large-scale relational knowledge graphs - modelling entities, relationships, and temporal dynamics at scaleAdvancing our LLM layer - investigating fine-tuning approaches, RLHF methodologies, and retrieval-augmented generation for domain-specific reasoning and explainabilityResearching cross-domain model transfer - understanding how models trained in one context generalise to another, and designing architectures that improve cold-start performanceExploring multimodal learning - integrating image, text, and structured data signals into unified intelligence representationsPublishing and presenting findings internally to drive model improvement and shape research direction across the teamWe Expect You ToHave a track record of coming up with new ideas or improving upon existing ideas in machine learning - demonstrated through publications, projects, or production implementationsBe able to own and pursue a research agenda - choosing impactful problems and driving them to completion autonomously over long-running projectsHave strong fundamentals in deep learning with comfort in PyTorch, transformers, and graph neural network frameworksBe excited about research that ships - not just research that publishesCommunicate research clearly to audiences with different backgrounds - from fellow researchers to engineers to non-technical stakeholdersNice To HavePhD in Computer Science, Mathematics, Statistics, or a related fieldFirst-authored publications at peer-reviewed ML conferences or journals such as NeurIPS, ICML, ICLR, or ACLExperience with graph neural networks, geospatial ML, or multimodal learningBackground in applied AI research in a production or commercial settingExperience with reinforcement learning from human feedback (RLHF) or preference optimisationWhy Smart BricksSolve Hard Problems:Work on AI systems that are live in production - agentic orchestration, real-time inference, cross-market model transfer, and retrieval systems operating at scale on proprietary data that doesn't exist anywhere else.Build What's Next:The infrastructure we are building sits at the frontier of applied AI. The models, agents, and reasoning systems you work on here will define how one of the world's largest asset classes operates for decades.Ownership and Impact:Small team, no bureaucracy, high trust. Your work ships, your decisions matter, and your fingerprints are on everything we build.Learn from the Best:Collaborate with world-class engineers, researchers, and operators who left careers at leading AI labs and financial institutions to build something genuinely new.