Research Engineer, Visual Knowledge Work

Sourced from aihiringboard.com

Anthropic is hiring a Research Engineer for its Vision team in Seattle to own the end-to-end data strategy for visual knowledge work capabilities in LLMs. The role combines applied research with hands-on data work: building evals, designing rewards, scaling RL environments, and managing external data vendors. You will partner with pretraining, RL, and product teams to translate visual and spatial reasoning research into real-world knowledge work capabilities.

• Own the data strategy for vision capabilities end-to-end, from building evals to scaling RL environments | Manage technical relationships with external data vendors, including writing task specifications and evaluating visual data and annotation quality | 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 to align on capability goals

• 7+ years of ML, computer vision, and software engineering experience through industry, academia, or other projects | Experience with reinforcement learning, reward design, or training data curation for large language or vision-language models | Familiarity with the architecture, training, and operation of large vision-language models | Comfortable managing technical vendor relationships and iterating quickly on feedback | Bachelor's degree or equivalent combination of education, training, and experience in a relevant field