Applied Researcher - Computer Use

What you'll do

• Create long-horizon computer-use environments from real workflows and prevent shortcuts, data leakage, and unsafe side effects.
• Train agents to recover from interface changes and failures, and evaluate task completion, efficiency, permissions, and escalation.
• Run post-training experiments, diagnose sources of performance changes, and deploy successful approaches.

What they ask for

• Relevant experience in multimodal agents, computer use, browser or desktop automation, RL, 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 and Python skills; ability to build reusable research and engineering artifacts.
• Comfort owning ambiguous problems and keeping partners and teammates informed.

Nice to have

• Publications, open-source systems, benchmarks, or shipped products demonstrating exceptional work.

Pay

$150-300k (base salary)

Tools

Python

AI focus

Research and develop post-trained multimodal computer-use agents, environments, and evaluations for reliable long-horizon workflows.