AI Research Scientist

Compensation: $400k + Equity + incentives + usual benefits + flexible paid vacation

We are looking for top 1% researcher's to drive the development and application of LLMs in the world of quantitative finance. In this role, you will harness your expertise in deep neural networks to architect, fine-tune, and push the frontier of these models for financial applications.

• Fine-Tuning on Financial Corpora:
  Adapt pre-trained LLMs to custom-built financial datasets which predict the market.
• Leveraging Common Crawl Data:
  Develop robust data pipelines to process and integrate large-scale web data, enriching our models with diverse, real-world information.
• Modifying LLM Architectures:
  Experiment with adjustments to LLM architectures and training algorithms to enhance performance in financial contexts.

• PhD in Machine Learning, Computer Science, or a related field.
• Extensive hands-on experience in Neural Network development and fine-tuning, using PyTorch, Hugging Face, or similar frameworks.
• Deep understanding of deep-learning architectures and large-scale data processing pipelines.
• We want BUILDERS
  —people who have tackled uniquely complex problems and are eager to take on the next one.

Join the next generation of LLM research powering lucrative Hedge Funds.