Applied Research (AI)

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

Cash compensation: $150,000–$300,000 per year plus equity incentives

Company

hirify.global is building an open superintelligence stack for frontier AI research, including infrastructure for compute, environments, evaluations, secure sandboxes, training, and deployment.

What you will do

• Develop reinforcement learning and post-training methods for tool-using, multi-agent, memory-augmented, and long-horizon systems.
• Build reusable environments, harnesses, reward systems, evaluations, and agentic judges.
• Design experiments connecting algorithm choices with training and inference behavior.
• Make multi-agent and long-horizon environments train reliably at scale while preserving debuggable traces and comparable baselines.
• Identify reward hacking, harness behavior, data leakage, and infrastructure artifacts, then redesign experimental loops to produce reliable results.
• Create open-source systems and research papers in collaboration with application researchers, customers, users, and research partners.

Requirements

• Relevant hands-on experience with reinforcement learning training, scalable ML systems, agent environments, evaluation, inference or training infrastructure, or research spanning methods and systems.
• Hands-on experience building and debugging model-training, post-training, agent, evaluation, or closely related 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.
• Ability to own ambiguous problems and keep partners and teammates informed while resolving them.

Nice to have

• 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.
• Work directly with customers, users, research partners, and open-source users while maintaining a substantive research agenda.