Quant ML Researcher: AI Alpha Models

Capital Fund Management (CFM); Paris; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Capital Fund Management (CFM) seeks a Machine Learning Researcher to drive AI-based alpha models at the intersection of research and production engineering. You will design, implement, and scale models that power predictive signals, collaborating with data teams and quant researchers across the firm.

You will work with Python-based DL frameworks, distributed training tools, and state-of-the-art architectures, contributing to both research and engineering efforts in a fast-paced environment.

Qualifications

• PhD preferred in CS/ML or related quantitative field.
• 2–3 years AI research experience acceptable.
• Proven ability to develop end-to-end model pipelines.
• Experience with large-scale DL models and multi-GPU training.
• Strong coding and debugging skills in Python.

Responsibilities

• Contribute to AI-based alpha models across research and engineering.
• Iterate on data pipelines, target definitions, and training recipes.
• Develop and scale distributed training/evaluation workflows for large models.
• Collaborate with ML platform, data teams, and researchers across the firm.
• Share research findings and publish when possible.

Skills

Python

PyTorch

Distributed training

Deep learning

Profiling & debugging

Large codebases

Education

PhD in Computer Science/ML

2–3 years AI research experience

Tools

CUDA

Ray

Kubernetes

Megatron-LM

Job description

Capital Fund Management (CFM) seeks a Machine Learning Researcher to drive AI-based alpha models at the intersection of research and production engineering. You will design, implement, and scale models that power predictive signals, collaborating with data teams and quant researchers across the firm.

You will work with Python-based DL frameworks, distributed training tools, and state-of-the-art architectures, contributing to both research and engineering efforts in a fast-paced environment.