Research Engineer (Visual Knowledge Work)

Join Anthropic, a leading AI safety and research company, as a Research Engineer specializing in visual knowledge work. In this unique role, you will own the end-to-end process of creating training data and reinforcement learning environments targeting visual knowledge work. You will collaborate with external vendors, pretraining, RL, and product teams to ensure the environments you build translate into real-world knowledge work capabilities. This position offers comprehensive benefits, a competitive salary, and the opportunity to make a significant impact in the field of AI.

• Own the end-to-end process of creating training data and RL environments targeting visual knowledge work, including identifying tasks, building evaluations, designing rewards, and scaling data.
• 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, and run generalization experiments to measure improvements.
• We’re looking for research engineers with a strong computer vision background who believe that visual and spatial reasoning are core to fully unlocking the capabilities of LLMs
• Enjoy pair programming and cross-team collaboration
• Have 7+ years of ML, computer vision, and software engineering experience through industry, academia, or other projects
• Are familiar with the architecture, training, and operation of large vision language models
• Care about the societal impacts of your work
• Are results-oriented, with a bias towards flexibility and impact
• Have experience engaging in systematic prompting, finetuning, or evaluation
• Have experience creating and evaluating large synthetic and real-world visual training datasets
• Large-scale pretraining, SL, and RL on language models
• Deep learning research on images, video, or other modalities
• Developing complex agentic systems using LLMs
• Large-scale ETL and data pipeline development
• High-performance ML systems (GPUs, TPUs, JAX, PyTorch)
• We require at least a Bachelor's degree in a related field or equivalent experience
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed
• We urge you not to exclude yourself prematurely and to submit an application if you're interested in this work