Applied Researcher (AI)

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

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

Company

Building an open superintelligence stack that combines compute, environments, evaluations, secure sandboxes, high-performance training, and deployment for frontier AI teams.

What you will do

• Build multimodal environments from partner workflows, demonstrations, tools, interface states, and outcome criteria.
• Develop browser, desktop, and cross-application agents with reliable sandbox and boundary enforcement.
• Train and evaluate agents using demonstrations, interventions, production failures, synthetic tasks, and verifiable outcomes.
• Run experiments on recovery and generalization across applications, layouts, permissions, and deployment contexts.
• Turn workflows into tasks, environments, evaluations, and reward signals, then deploy successful approaches into shared research, open-source systems, and product capabilities.
• Work directly with customers, users, or research partners while maintaining a substantive research agenda.

Requirements

• Relevant experience with multimodal agents, computer use, browser or desktop automation, reinforcement learning, imitation learning, HCI, embodied agents, or long-horizon agent evaluation.
• 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

• Publications, open-source systems, benchmarks, or shipped products demonstrating exceptional work.
• Evidence of something difficult built, what failed, and how evidence changed the approach.

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.
• Equity incentives in addition to cash compensation.