AI-Driven Quant Researcher (Multi-GPU)

Capital Fund Management (CFM); Paris; On-site; EUR 90,000 - 140,000; Full time

Job summary

Capital Fund Management (CFM) in Paris is seeking a Machine Learning Researcher to build AI-based alpha models and scale their training pipelines. You will work across research and engineering to push the boundaries of DL methods and predictive signals.

The role blends research with production engineering, requires strong Python and PyTorch skills, and welcomes candidates with a PhD or 2–3 years of AI research experience. Collaboration with cross-functional teams is essential.

Qualifications

• PhD in CS/ML preferred; open to 2–3 years AI research experience.
• Proficient Python and at least one DL framework (PyTorch).
• Experience with end-to-end model development and evaluation.

Responsibilities

• Contribute to AI-based alpha models across research and engineering.
• Iterate on data pipelines, model architectures, and training recipes.
• Develop, optimize, and scale distributed training and evaluation workflows for large models.
• Collaborate with ML platform, data, and portfolio teams; publish research when possible.

Skills

Python

Deep learning

PyTorch

Model optimization

Distributed training

Research methods

Debugging & profiling

Team collaboration

Education

PhD in Computer Science or ML

2–3 years AI research experience

Tools

PyTorch Distributed

DeepSpeed

FSDP

Megatron-LM

Job description

Capital Fund Management (CFM) in Paris is seeking a Machine Learning Researcher to build AI-based alpha models and scale their training pipelines. You will work across research and engineering to push the boundaries of DL methods and predictive signals.

The role blends research with production engineering, requires strong Python and PyTorch skills, and welcomes candidates with a PhD or 2–3 years of AI research experience. Collaboration with cross-functional teams is essential.