AnthropicSan Francisco, CAResearch Engineer works end-to-end to remove bottlenecks toward scientific AGI, focusing on long-horizon reasoning, computer use, and model capabilities. Requires 8+ years ML experience, expertise in language model pipelines, distributed systems, and collaborative problem-solving.
Our team is focused on building an AI scientist capable of solving long-term reasoning challenges and pushing the scientific frontier. We're currently improving models' abilities to use computers as a laboratory for long-horizon tasks and scientific workflows.
As a Research Engineer, you will work end-to-end to identify and address key blockers on the path to scientific AGI. Strong candidates have familiarity with language model training, evaluation, and inference, and enjoy collaborative problem-solving.
Education requirements: At least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in our offices.
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