Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. The role involves advancing the science of visual perception and multimodal learning by developing architectures, datasets, and evaluation tools that teach AI to see, understand, and collaborate.
Responsibilities:
- Own research projects on training and performance analysis of multimodal AI models
- Curate and build large-scale datasets and evaluation benchmarks to advance vision capabilities
- Work with our data infrastructure engineers, pretraining researchers and engineers, and product team to create frontier multimodal models and the products that leverage them
- Publish and present research that moves the entire community forward. Share code, datasets, and insights that accelerate progress across industry and academia