Develop, test, and implement ML models and strategies across various financial instruments.
Analyze large datasets, optimize model performance, and build scalable training/inference pipelines.
Contribute to the design and direction of the firm’s ML platform and research initiatives.
Collaborate with trading and engineering teams to bring ideas from concept to production.
Share expertise through mentorship, research discussions, and participation in ML conferences.

Strong foundation in mathematics (optimization, regularization, linear algebra, statistics).
Proven experience in building and maintaining ML infrastructure and production workflows.
Proficiency with modern ML frameworks (e.g., PyTorch, TensorFlow, JAX).
Curiosity for research and a passion for exploring new ML techniques and hardware.

Machine Learning Researcher

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