Quantitative AI Researcher

This range is provided by Storm2. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$350,000.00 / yr - $350,000.00 / yr

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.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Finance, Engineering, and Research

Industries

Financial Services, Market Research, and Capital Markets

Benefits

Medical insurance

401(k)

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Location : San Francisco, CA

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