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

Job Description

We are retained by a stealth, elite quantitative investment firm building a world-class research platform at the intersection of machine learning, generative AI, and quantitative finance. Backed by exceptional capital and leadership, this start-up environment offers the freedom and resources to pursue frontier AI research with real-world deployment.

We are seeking an outstanding Machine Learning Researcher to join a small, highly selective research team.

Role Overview

You will work at the cutting edge of modern AI—designing, training, and scaling state-of-the-art ML and GenAI systems. This is a deeply research-driven role with direct ownership of ambitious problems and access to significant compute and data. This will result in building strategies for trading Equities, Options and Crypto.

Key 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

Required Background

PhD / MSc or equivalent research experience from a top-tier academic institution for example (but not limited to) :

Alternatively, elite research experience from leading AI labs or top-tier industry research groups

Why Join