Quantitative AI Researcher

Numerai is the hardest data science tournament in the world, powering an AI hedge fund. Every week we distribute and process terabytes of data, ingest millions of stock market predictions, execute thousands of Machine Learning models, and trade based on the results. Now, we are looking for a talented researcher to solve the hardest mathematical and statistical problems that we face.

Location: San Francisco

Compensation: $300k-$350k + incentives + usual benefits + flexible paid vacation

Example Projects

• Research and develop a model to predict future risk based on textual data
• Find modifications to our optimization process which reduce costs and improve alpha concentration
• Develop novel transformations to unstructured to data to learn optimal features to expose to downstream models

The Role
We are looking for a talented researcher to drive the development and application of AI and statistical models across all domains of the hedge fund: Data, Modeling, Risk, Optimization, and Trading.

Requirements and Qualifications

• PhD in Machine Learning, Computer Science, or a related field.
• Extensive hands-on experience in Neural Network development
• Extensive hands-on experience with tabular machine learning models such as XGBoost
• Deep understanding of deep-learning architectures and large-scale data processing pipelines.
• Proven ability to translate cutting-edge AI research into real-world applications beyond theory.