Hunter Bond · 2 days ago
Machine Learning Researcher (Large-Scale ML / GenAI) : Quant Fund
Hunter Bond is a stealth, elite quantitative investment firm building a world-class research platform at the intersection of machine learning, generative AI, and quantitative finance. They are seeking an outstanding Machine Learning Researcher to join a small, highly selective research team, focusing on designing, training, and scaling state-of-the-art ML and GenAI systems.
Responsibilities
Train large-scale ML and generative AI systems end-to-end, from raw data processing through fine-tuning and evaluation
Develop novel AI/ML architectures, including transformer-based and generative models
Train state-of-the-art systems across supervised, unsupervised, and reinforcement learning
Explore and curate new datasets to extract novel signal and drive performance
Contribute to original research and long-term AI strategy alongside elite researchers
Qualification
Required
Proven experience training ML models end-to-end, from data pipelines to fine-tuning
Strong hands-on experience across transformers, generative models, and reinforcement learning
Publications in top-tier ML venues (e.g., NeurIPS, ICML, ICLR, JMLR, or equivalent)
Strong Python
PhD/MSc or equivalent research experience from a top-tier academic institution for example (but not limited to): MIT, Stanford, UC Berkeley, Carnegie Mellon, Princeton, Harvard, Oxford, Cambridge, Imperial College London, UCL, ETH Zurich, EPFL, Max Planck Institutes, University of Tübingen, University of Toronto, Mila (Université de Montréal), Vector Institute
Alternatively, elite research experience from leading AI labs or top-tier industry research groups
Benefits
Great bonus and equity potential
Highly competitive compensation with meaningful upside
Company
Hunter Bond
Hunter Bond is a global recruitment firm specializing in the financial and technology areas, providing clients with effective solutions.
Funding
Current Stage
Early StageCompany data provided by crunchbase