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

Hunter Bond; Lombardia; In loco; EUR 70.000 - 100.000; Tempo pieno

Descrizione del lavoro

An elite quantitative investment firm in Lombardy, Italy, is seeking a Machine Learning Researcher to work on cutting-edge AI projects. You will design and train large-scale machine learning systems, contributing to original research with direct applications in trading. The ideal candidate will have proven experience in machine learning, a strong background in advanced AI techniques, and notable publications. This position offers competitive compensation, equity potential, and an innovative research environment with significant autonomy.

Servizi

Great bonus and equity potential

Access to exceptional compute and data

Work in a low-bureaucracy research culture

Competenze

• 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).

Mansioni

• Train large-scale ML and generative AI systems end-to-end.
• Develop novel AI/ML architectures for trading.
• Contribute to original research alongside elite researchers.

Conoscenze

Machine Learning

Generative AI

Python

Transformers

Reinforcement Learning

Formazione

PhD/MSc from top-tier institution

Strumenti

Data Pipelines

Descrizione del lavoro

Direct message the job poster from Hunter Bond

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

• 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 $1 billion 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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