Storm2
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)
Referrals increase your chances of interviewing at Storm2 by 2x
Location: San Francisco, CA
#J-18808-Ljbffr
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)
Referrals increase your chances of interviewing at Storm2 by 2x
Location: San Francisco, CA
#J-18808-Ljbffr