ML Research Engineer - Quant Finance Pipeline

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

Job summary

Capital Fund Management (CFM) in Paris is seeking an experienced Machine Learning Research and Engineering expert to advance our tick-based ML pipeline for execution strategies. You will implement new features in C++, enrich indicators and data sets, and help scale the training and inference components to accelerate research.

You will collaborate with ML researchers and engineers, evaluate emerging frameworks, maintain the pipeline in production, and ensure robustness and low latency.

Qualifications

• PhD or equivalent in ML/CS/DE or related field (research or applied).
• Strong understanding of ML algorithms and experience with large datasets.
• Proficiency in Python and C++ with ML libraries (PyTorch, TensorFlow, scikit-learn).
• Experience on Linux and in production ML pipelines.
• Fluency in English and French and excellent collaboration.

Responsibilities

• Develop and evolve tick-based ML pipeline for execution research.
• Implement new features in C++ and improve data generation.
• Train and evaluate ML models, frameworks, and performance.
• Maintain production reliability and low latency.

Skills

English & French proficiency

Strong collaboration

Research mindset

Education

PhD (or equivalent experience) in ML/CS/DE or related field

Tools

Python

C++

PyTorch

TensorFlow

scikit-learn

Pandas/Polars

Linux

Job description

Capital Fund Management (CFM) in Paris is seeking an experienced Machine Learning Research and Engineering expert to advance our tick-based ML pipeline for execution strategies. You will implement new features in C++, enrich indicators and data sets, and help scale the training and inference components to accelerate research.

You will collaborate with ML researchers and engineers, evaluate emerging frameworks, maintain the pipeline in production, and ensure robustness and low latency.