**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 taking 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
- Find, evaluate, and integrate new datasets to strengthen our equities data and improve stock prediction.
- Add a new risk model to our portfolio system and write a short report on its results and production readiness.
- Experiment with data transformations to boost machine learning performance.
Requirements and Qualifications
- PhD in Machine Learning, Computer Science, or a related field (top 20 School preferred)
- 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.
Role Overview
You’ll source new datasets, build models to assess their value, and integrate the best ones into our data pipeline and strategies.
You’ll develop and test new portfolio and trading strategies, document findings, and help decide which to move into production.
Tags & focus areas
Used for matching and alerts on DevFound Ai Machine Learning Data Science Generative Ai Pytorch Fulltime