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Hunter Bond · 1 day ago

PhD Machine Learning Researcher (Large-Scale ML / GenAI) : Quant Fund

Connecticut, United States

Full-time

Onsite

Senior Level

Hunter Bond is a stealth, elite quantitative investment firm focused on 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 design, train, and scale state-of-the-art ML and GenAI systems for trading Equities, Options, and Crypto.

EmploymentRecruitingStaffing Agency

Hiring Manager

Stuart Hylton

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

Machine LearningGenerative AITransformersReinforcement LearningPythonData PipelinesResearch PublicationsTop-tier Academic Background

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