Experiential Reinforcement Learning
Cambridge Residency Programme: Next-generation networks for AI Datacentre Networks
The position is based at Microsoft Research Cambridge within the Future AI Infrastructure group. This role offers the opportunity to conduct cutting-edge research at the intersection of network protocols, systems design, and AI infrastructure, with…
latent-zoning-networks
Generative modeling, representation learning, and classification are three core problems in machine learning (ML), yet their state-of-the-art (SoTA) solutions remain largely disjoint. In this paper, we ask: Can a unified principle address all three? Such…
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model
We propose Large Market Model (LMM), an order-level generative foundation model, for financial market simulation, akin to language modeling in the digital world. Our financial Market Simulation engine (MarS), powered by LMM, addresses the domain-specific…
Principal Applied Scientist – Viva Engage
As a Principal Applied Scientist at Viva Engage, your role is to build Agentic applications across our product, predictive models that connect individuals with each other and knowledge across organizations. Our focus lies in discovery,…
Research Intern – AI Safety & Reliability for LLM Systems
This Research Internship focuses on improving the reliability and trustworthiness of artificial intelligence (AI) systems that support complex, real-world decision-making. The Research Intern will study how large language model (LLM)–based assistants behave when relevant information…