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

Hunter Bond; Lombardia; In loco; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading financial services firm in Italy seeks a Mid-Senior AI Researcher who will design and train cutting-edge ML and generative AI systems. Responsibilities include developing novel architectures and curating datasets to enhance performance while conducting significant research. The ideal candidate will have a PhD or MSc, strong hands-on experience with ML models, and stay within a low-bureaucracy environment. Attractive compensation and equity potential are offered.

Servizi

Great bonus and equity potential

Direct access to exceptional compute and data

High-signal research culture

Competenze

• Experience training ML models from data pipelines to fine-tuning.
• Strong understanding of reinforcement learning techniques.
• Publications in prominent ML venues are preferred.

Mansioni

• Train ML and generative AI systems from data processing to evaluation.
• Develop AI/ML architectures including transformers and generative models.
• Explore and curate datasets to enhance performance.

Conoscenze

Training ML models end-to-end

Hands-on experience with transformers

Knowledge of generative models

Proficient in Python

Formazione

PhD/MSc from a top-tier academic institution

Descrizione del lavoro

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