Applied Research Quantitative Finance
5 hours agoSalary: 150K - 300KSan Francisco; London; New York; RemoteRemoteFull TimeAiJobs by Prime Intellect
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AI infrastructure company providing an integrated stack for training, evaluating, deploying, and continuously improving agentic models.
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San Francisco, United States
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About Prime Intellect
Prime Intellect, Inc. operates AI infrastructure spanning RL environments, hosted training and evaluations, inference, secure sandboxes, and globally sourced GPU compute.
Skills
About the Role
You will build environments, evaluations, agents, and post-training methods for quantitative research. You will develop market and portfolio simulations, train long-horizon agents, test robust out-of-sample behavior, and build monitored production loops that respect risk constraints.
Requirements
- Depth in reinforcement learning, agents, or post-training systems
- Experience building and debugging model-training, post-training, agent, or evaluation loops
- Experimental judgment, including baselines, trace inspection, and failure attribution
- Python
- Ability to build reproducible artifacts for researchers and engineers
- Ability to own ambiguous problems and communicate with partners
Responsibilities
- Build quantitative-research environments using point-in-time data and realistic market mechanics
- Develop agents for quantitative research, analysis, and execution tools
- Design verifiers and evaluations for robust out-of-sample behavior
- Build production loops with monitoring, human authority, regression gates, and failure attribution
Benefits
- Flexible work
- Visa sponsorship and relocation support
- Team off-sites and conference attendance