Machine Learning Researcher
Core
Building deep learning models for trading strategies in a competitive multi-agent environment using novel techniques.
Role type
Machine Learning Researcher (IC)
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, hands-on Python coding, rapid implementation and iteration
Preferred skills
experience with LLMs, image models, RL agents, recommendation systems, classical ML methods
Technologies
Python, high-end GPU clusters
Responsibilities
Train models for next-generation trading strategies, debug distributed training performance, study model behavior in production, hire new colleagues, attend conferences, teach techniques to teammates
Seniority
Individual Contributor (IC)