AI Scientist
Numerai operates a quantitative global equity market-neutral hedge fund and data-science tournaments. Participants submit stock-market and crypto-market prediction models or signals, optionally staking NMR token rewards on their performance.
Maintainer signals as of 8/23/2026
Funding history
Projects
About Numerai
Numerai provides hedge-fund-quality, obfuscated market data and tournaments for data scientists to build and submit machine-learning models and market signals. It combines submitted models into a meta model used to predict markets and trades real capital through its quantitative global equity market-neutral hedge fund, which it describes as intended for institutional investors and certain accredited high-net-worth individuals. Its Numerai, Signals, and Crypto tournaments allow participants to submit predictions, receive scoring and diagnostics, and optionally stake NMR for payouts or burns based on performance.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will improve an automated research system by generating stronger hypotheses running better experiments and identifying reliable results. You will apply LLMs to financial text and filings build tools for researchers automate workflows and design evaluations without clean ground truth. You will track advances in the field and translate relevant capabilities into practical systems.
Requirements
- Deep current expertise in modern machine learning with emphasis on LLMs
- Experience with training fine-tuning reinforcement learning inference agents or evaluation
- Frontier research demonstrated through publications open source or advanced systems
- Ability to take research ideas through reliable production use
- Strong software engineering
- Excellent written communication
- Intellectual honesty in reporting negative results
- Curiosity about markets
Responsibilities
- Improve automated quantitative research
- Generate and test research hypotheses
- Design reliable experiments
- Identify genuine research results
- Extract structure from unstructured text and filings
- Build LLM tools for research workflows
- Automate attention-intensive research and engineering tasks
- Design evaluations for AI systems
- Assess new AI capabilities
Benefits
- Healthcare benefits
- Work-from-home flexibility
- YMCA membership
- Significant equity