We're looking for a research engineer who believes that visual and spatial reasoning are core to fully unlocking the capabilities of LLMs. On the Vision team, you'll own the end-to-end process of creating training data and RL environments targeting visual knowledge work: identifying long-horizon and vision-heavy tasks, building evals, designing rewards, and scaling data. This is a unique role that combines applied research with hands-on data work. It's also highly collaborative — you'll partner with external vendors, pretraining, RL, and product teams to make sure the environments you build translate into real-world knowledge work capabilities.

Own the data strategy for vision capabilities end-to-end, from building evals and scaling RL environments

Manage technical relationships with external data vendors, including writing task specifications, evaluating visual data and annotation quality, and iterating on reward design

Develop and improve QA frameworks that catch reward hacking and ensure environment quality at scale

Run generalization experiments to measure how data strategy changes improve multimodal capabilities on held-out evaluations

Partner with pretraining, RL, and product teams, and do the science that shows we’re all rowing in the same direction

You may be a good fit if you:

Have 7+ years of ML, computer vision, and software engineering experience through industry, academia, or other projects

Have experience with reinforcement learning, reward design, or training data curation for large language or vision-language models

Are familiar with the architecture, training, and operation of large vision language models

Are comfortable managing technical vendor relationships and iterating quickly on feedback

Are results-oriented, with a bias towards flexibility and impact

Research Engineer, Visual Knowledge Work

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Anthropic

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