Applied Research - Computer Use
Core
Build post-training and evaluation systems for multimodal agents operating browsers, desktops, and cross-application workflows to turn real workflows into environments, rewards, and experiments.
Role type
Applied Research Scientist (Computer Use Agents)
Builds
Multimodal environments, browser/desktop agents, training and evaluation pipelines
Domain
Frontier AI, Computer Use, Agent Workflows
Deliverable
production ML models
Required skills
multimodal agents, computer use, browser/desktop automation, RL, imitation learning, HCI, embodied agents, long-horizon agent evaluation, model training, post-training, Python
Preferred skills
publications, open-source systems, benchmarks, shipped products
Technologies
Python
Responsibilities
Build long-horizon computer-use environments from real workflows; Train agents to recover from interface changes and partial failures; Develop evaluations distinguishing genuine completion from plausible behavior; Run post-training experiments against real baselines and deploy results.
Seniority
Mid-Senior, hands-on IC
