Machine Learning Researcher
Core
Building deep learning models for trading strategies in a competitive multi-agent environment using large models and nonstationary datasets.
Role type
Machine Learning Researcher (IC)
Builds
Deep learning-based trading strategies
Domain
Financial Trading / Machine Learning
Deliverable
production ML models
Required skills
Empirical ML problem solving, Logical and mathematical thinking, State-of-the-art research knowledge, Versatile model implementation, Python coding, Rapid prototyping
Preferred skills
Experience with LLMs, image models, RL agents, recommendation systems, classical ML methods
Technologies
Python, Deep Learning frameworks, 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