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

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):

Oxford, Cambridge, Imperial College London, UCL

Alternatively, elite research experience from leading AI labs or top‑tier industry research groups
Why Join

Huge backers - roadmap to $1billion AUM over next 18 months
Great bonus and equity potential
Work in a low‑bureaucracy, high‑signal research culture
Direct access to exceptional compute, data, and research autonomy
Ability to conduct real ML research that goes into production
Highly competitive compensation with meaningful upside

Seniority level

Mid‑Senior level

Employment type

Full-time

Job function

Research, Information Technology, and Engineering

Industries

Financial Services, Technology, Information and Media, and Research Services

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