Skip to main content
Tallo logoTallo logo

Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details

Back to Results

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Sharpe Search

AI Scientist - $900k Total Compensation

Choose a Location

This role is available in multiple locations. Pick one to apply.

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
100
out of 100
Average of individual scores

Were these scores useful?

Job Description

AI Scientist - $900k Total Compensation at Sharpe Search AI Scientist - $900k Total Compensation at Sharpe Search in Union City, California Posted in 9 days ago.

Type:

full-time An elite, high-leverage quant firm is building a self-improving hedge fund powered by thousands of machine learning models-increasingly designed and refined by AI itself. This is already how the fund compounds edge every day. They are forming a small team with one mandate: build AI that conducts quantitative research autonomously and continuously. Discover new features, construct superior risk models, and radically improve how thousands of signals become a living portfolio. No bureaucracy. No politics. Significant equity. Extreme ownership. The primary focus is their system for machines performing quantitative research end-to-end. The role is to make it dramatically better at generating hypotheses, running rigorous experiments, distinguishing real signal from noise, and compounding its own discoveries. This is an open research problem at the frontier. The mandate also covers everything LLMs can unlock-extracting structure from unstructured text and filings at scale, building tools researchers actually use, and eliminating human bottlenecks. Designing rigorous evaluations that prove real impact on a live portfolio is essential. Vibes are not science. The ideal candidate has deep expertise in modern ML with emphasis on LLMs (training, fine-tuning, RL, inference, agents, evaluation), a track record of frontier work, the ability to turn ambitious research into reliable systems people use, strong software engineering, precise communication, and genuine curiosity about markets. Experience with agentic scientific discovery or LLM evaluation without clean ground truth is a plus. This is the rarest seat in

AI:

the chance to build the autonomous research engine that compounds a real hedge fund's edge, with extreme ownership, significant equity, and nothing standing between you and the frontier - Apply below.