Quantitative AI Researcher

$300k – $350k • 0.1% – 0.3% | San Francisco | 6 years of exp

It’s not your average data science gig. We’re talking terabytes of data, millions of predictions, and thousands of models driving real trades. We’re on the hunt for a researcher ready to take LLMs to the next level in quant finance.
 

Example Projects

• 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.

Requirements and Qualifications

• PhD in Machine Learning, Computer Science, or a related field.
• Extensive hands-on experience in LLM development and fine-tuning, using PyTorch, Hugging Face, or similar frameworks.
• Deep understanding of LLM architectures and large-scale data processing pipelines.
• Proven ability to translate cutting-edge AI research into real-world applications beyond theory.