Applied Researcher (AI/RL)

Location: San Francisco, New York, London, or remote

Salary: $150,000–$300,000 plus equity incentives

Company

hirify.global builds an open superintelligence stack with infrastructure for compute, environments, evaluations, secure sandboxes, training, and deployment of frontier AI systems.

What you will do

• Build quantitative-research environments using point-in-time data, realistic market mechanics, transaction costs, latency, capacity, and operational constraints.
• Develop agents that conduct quantitative research, use analytical and execution tools, inspect evidence, and recover from failed hypotheses.
• Design verifiers and evaluations for robust out-of-sample behavior across assets, horizons, regimes, and adverse conditions.
• Develop production feedback loops with monitoring, human authority, regression gates, and failure attribution across models, data, simulation, and infrastructure.
• Work directly with customers, users, research partners, and internal researchers while maintaining a substantive research agenda.

Requirements

• Depth in reinforcement learning, agents, or post-training systems, with the ability to become fluent in quantitative research.
• Hands-on experience building and debugging model-training, post-training, agent, evaluation, or closely adjacent experimental loops.
• Strong experimental judgment, including meaningful baselines, careful trace inspection, clear failure attribution, and willingness to change direction when evidence changes.
• Strong Python skills and the ability to build artifacts that other researchers and engineers can run, inspect, and extend.
• Comfort owning ambiguous problems and keeping partners and teammates current while resolving them.

Nice to have

• Prior work in systematic trading, market microstructure, time-series modeling, econometrics, or financial simulation.
• Publications, open-source systems, benchmarks, or shipped products demonstrating exceptional work.

Culture & Benefits

• Flexible work from San Francisco, New York, London, or remotely.
• Visa sponsorship and relocation support.
• Professional development budget.
• Team off-sites and conference attendance.
• Opportunity to work with customers, users, and research partners on externally facing applied research.