Machine Learning Researcher

Description du poste

Paris, 75, FR

ABOUT CFM

Founded in 1991, we are a global quantitative and systematic asset management firm applying a scientific approach to finance to develop alternative investment strategies that create value for our clients.

We value innovation, dedication, collaboration, and the ability to make an impact. Together, we create a stimulating environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge existing assumptions.

YOUR ROLE

We’re hiring for a Machine Learning Researcher: a role that blends modern ML research, GPU-heavy experimentation, quantitative modelling, and production-quality engineering. You’ll join a newly formed quant research team whose goal is to build AI-based alpha models that are predictive, reliable and efficient. You will work at the intersection of research and engineering to design, implement, and scale the AI models and algorithms that power our predictive signals. You’ll collaborate closely with data teams, the ML platform team, portfolio teams, and quant researchers across the firm.

YOUR RESPONSIBILITIES

• 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 o

Annonce publiée sur Indeed et reprise par Intelligence Academy. Seule l'annonce d'origine fait foi ; nous ne sommes pas l'employeur.