Research Engineer, Computer Use

About This Role Design and run experiments to improve Claude's perception and agentic capabilitiesDevelop robust, reliable evaluation frameworks for measuring our models' ability to complete complex computer tasksBuild and improve computer use and vision reinforcement learning training environmentsCreate pipelines and tools to test and validate complex RL environmentsCollaborate with teams across the model training and infrastructure stack to improve our production training setupPartner with product teams to bring research advances into production Requirements Software engineering experience and proficiency in PythonExperience training, fine-tuning, or evaluating machine learning modelsStrong communication skills and a collaborative working styleCare about the societal impacts and safety of your work Preferred Qualifications Experience training models for computer use or other agentic capabilitiesExperience with reinforcement learning, particularly in long-horizon or sparse-reward settingsFamiliarity with multimodal model trainingExperience building evaluations or benchmarks for agentic systemsExperience building reinforcement learning environments, simulation systems, or large-scale ML infrastructureExperience working closely with product teams to drive model improvementsThe annual compensation range for this role is listed below.For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Skills Python Compensation & Benefits $500,000 — $850,000 USD