AI Scientist
Core
Building autonomous AI systems for quantitative research, including autoresearch, LLM-based data extraction, and workflow automation for a hedge fund.
Role type
Senior AI Scientist (Autonomous Quant Research)
Builds
Autonomous research systems, LLM tools for unstructured data, and evaluation frameworks for AI-driven portfolio decisions.
Domain
Quantitative finance + Machine Learning (LLMs, Agents, RL)
Deliverable
production ML models
Required skills
Modern machine learning (LLMs, training, fine-tuning, RL, inference, agents, evaluation), frontier research track record, software engineering, experimental design, quantitative reasoning
Preferred skills
Automated scientific discovery, LLM evaluation infrastructure, quantitative finance exposure
Technologies
LLMs, Reinforcement Learning, Agents, Python (implied by engineering context)
Responsibilities
Improve autoresearch system for hypothesis generation and experiment execution; Build tools to extract structure from unstructured text and filings; Design evaluation metrics for AI systems influencing investment portfolios; Translate new AI capabilities into actionable research directions.
Seniority
Senior, hands-on IC