Applied Researcher (Quant Finance) — Remote + Equity

Prime Intellect, Inc.; Oregon; Hybrid; USD 150,000 - 300,000; Full time

Benefits offered by this job

Flexible Work (SF, NY, London, or rem>

Visa Sponsorship & relocation support

Professional Development budget

Team Off-sites & conference attendance

Job summary

Prime Intellect, Inc. seeks researchers to advance reinforcement learning, build agents, and develop post-training systems for quantitative finance and systematic decision-making.

You will work on environments, evaluations, and production loops integrating data, tools, and models to deliver robust research outcomes. The role emphasizes building reusable research code, collaborating with customers or partners, and contributing to open infrastructure and product capabilities in frontier AI

Qualifications

• Depth in RL, agents, or post-training systems.
• Hands-on experience building training/post-training loops.
• Strong Python and the ability to build artifacts for researchers.

Responsibilities

• Build environments, evaluations, agents, and post-training methods for quantitative research.
• Develop market and portfolio simulators, time-series reasoning, execution, risk, and production feedback loops.
• Create production loops with monitoring, regression gates, and failure attribution across models, data, and infrastructure.

Skills

Reinforcement Learning

Agents

Post-training systems

Python

Experimental design

Job description

Prime Intellect, Inc. seeks researchers to advance reinforcement learning, build agents, and develop post-training systems for quantitative finance and systematic decision-making.

You will work on environments, evaluations, and production loops integrating data, tools, and models to deliver robust research outcomes. The role emphasizes building reusable research code, collaborating with customers or partners, and contributing to open infrastructure and product capabilities in frontier AI