Description
We're looking for research engineers with a strong computer vision background to work on research, development, and evaluation for state-of-the-art Claude models. In this role, you'll run experiments to evaluate architectural variants, data strategies, and SL and RL techniques to improve Claude's vision. You'll also develop and test tools, skills, and agentic infrastructure that enable Claude to reason over visual inputs. Additionally, you'll create evaluations and benchmarks that measure progress on multimodal capabilities across training and deployment.
As a research engineer, you'll partner with the product org to ensure that the vision improvements you deliver impact Claude's performance on real-world tasks. You'll also work with our product org to find solutions to our most vexing API customer challenges related to vision and spatial reasoning.
Strong candidates may also have experience with large-scale pretraining, SL, and RL on language models, deep learning research on images, video, or other modalities, developing complex agentic systems using LLMs, high-performance ML systems (GPUs, TPUs, JAX, PyTorch), and large-scale ETL and data pipeline development.
The annual compensation range for this role is $350,000-$850,000 USD.