Machine Learning Researcher
Core
Build deep learning models for trading strategies in a competitive multi-agent environment using novel techniques.
Role type
Machine Learning Researcher (trading)
Builds
Deep learning-based trading strategies
Domain
Finance / Machine Learning
Deliverable
production ML models
Required skills
empirical ML problem solving, logical and mathematical thinking, state-of-the-art research knowledge, fluency with diverse ML models (LLMs, image models, RL agents, recommendation systems, classical ML), hands-on Python coding, rapid implementation and iteration
Preferred skills
hiring new colleagues, attending conferences, teaching techniques to teammates
Technologies
Python, high-end GPUs, distributed training systems
Responsibilities
train models for next-generation trading strategies, architect systems, run trading strategies, debug distributed training performance, study model behavior in production
Seniority
Individual Contributor, research-focused