AI-Driven Quant Researcher

Capital Fund Management (CFM); Paris; Sur place; EUR 90 000 - 150 000; Plein temps

Résumé du poste

Capital Fund Management (CFM) is hiring a Machine learning researcher to join a newly formed quant research team in Paris. The role blends modern ML research with GPU-heavy experimentation, quantitative modelling, and production-ready engineering to build AI-based alpha models powering our signals.

You’ll collaborate with data teams, the ML platform group, portfolio teams, and other researchers to design, scale, and publish impactful results while advancing distributed training on multi-GPU

Qualifications

• PhD in Computer Science, Machine Learning or other quantitative domains preferred. Open also to candidates with 2/3 years experience in a AI research role.
• Experience with end-to-end model development, spanning dataset construction, training, evaluation, profiling, and monitoring.
• Familiarity with modern model architectures, e.g. MoEs, long-context transformers, vision-language models, efficient attention mechanisms, and multi-token prediction.
• Experience training and scaling models using distributed training frameworks such as PyTorch Distributed, DeepSpeed, FSDP, or Megatron-LM.
• Strong engineering skills, ability to contribute performant & maintainable code, profile bottlenecks, debug training failures, and work with large codebases.
• Initiative and appetite for helping shape the direction of a newly formed team.

Responsabilités

• You’ll be engaged as a core contributor to our AI-based alpha models, working across research and engineering.
• Research: Iterate on data pipelines, target definitions, model architectures, and training recipes (optimization strategies and hyperparameters). You’ll be responsible for both getting things to work, and developing a deeper understanding, which we can bring to the next problem.
• Engineering: Develop, optimize, and scale distributed training and evaluation workflows for large-scale foundation models, working closely with the ML platform team to efficiently leverage multi-GPU infrastructure.
• Keep up with the latest DL research and collaborate with diverse teams, including other quant researchers, software engineers, and hardware architects.
• Attend conferences and communicate research results to the rest of the firm. Where possible, there will be the opportunity to publish your research.

Connaissances

Python

PyTorch

Distributed training

Research mindset

GPU tooling

Formation

PhD in Computer Science or ML

Outils

PyTorch

DeepSpeed

Megatron-LM

CUDA

Ray

Kubernetes

Description du poste

Capital Fund Management (CFM) is hiring a Machine learning researcher to join a newly formed quant research team in Paris. The role blends modern ML research with GPU-heavy experimentation, quantitative modelling, and production-ready engineering to build AI-based alpha models powering our signals.

You’ll collaborate with data teams, the ML platform group, portfolio teams, and other researchers to design, scale, and publish impactful results while advancing distributed training on multi-GPU