Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.
Обязанности
Design, build, and iterate on training environments and data pipelines that improve Claude's ability to reason over knowledge-intensive tasks.
Run experiments end-to-end: form a hypothesis, build the infrastructure, train models, analyze results, and decide what to try next.
Develop evaluations that meaningfully capture progress on search, retrieval, and reasoning quality.
Identify failure modes in current model behavior and translate them into concrete training signals.
Collaborate closely with researchers across RL Data, post-training, and product teams to align on priorities and ship improvements.
Требования
Highly experienced Python engineer.
Experience designing, running, and analyzing ML experiments.
5+ years of experience operating ML or distributed systems at scale.