Low-Latency ML Research Engineer for Trading Systems

Capital Fund Management (CFM); Paris; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Capital Fund Management (CFM) in Paris seeks an experienced Machine Learning Research and Engineering expert to join the Trading Core & Model Technology (TCM) team. You will build new ML models to feed CFM's execution strategies and maintain the ML pipeline.

You will implement features in C++, optimize data generation and training, evaluate models, and ensure production latency requirements are met while collaborating with research and execution teams.

Qualifications

• PhD (or equivalent) in ML, CS, data engineering or related field.
• Strong understanding of ML algorithms and practical ML knowledge.
• Experience with large datasets and applied ML.
• Proficient in Python and C++; ML libraries (pandas, scikit-learn, PyTorch, TensorFlow).
• Fluent in English and French; strong collaboration skills.
• Experience with Linux and production pipelines.
• Adaptable, rigorous, and capable in a fast-evolving environment.

Responsabilités

• Explore and propose new ML ideas with TCM and Execution teams.
• Implement and evaluate ML ideas, data, models, frameworks and inference.
• Participate in platform maintenance (non-regression tests, migrations).
• Implement and optimize features in C++ to feed ML-driven execution strategies.

Connaissances

Python

C++

Machine Learning

Linux

French

English

Formation

PhD in ML/CS/Data Eng

Description du poste

Capital Fund Management (CFM) in Paris seeks an experienced Machine Learning Research and Engineering expert to join the Trading Core & Model Technology (TCM) team. You will build new ML models to feed CFM's execution strategies and maintain the ML pipeline.

You will implement features in C++, optimize data generation and training, evaluate models, and ensure production latency requirements are met while collaborating with research and execution teams.