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
