Senior Member of Technical Staff, Multimodal AIActive

The opportunity

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.

What you'll do

  • Design and develop cutting-edge multimodal AI systems, integrating various: modalities such as text, speech, and vision.

  • Conduct research and experiments on our advanced compute infrastructure,: exploring novel ideas in multimodal representation learning, transfer learning, and more.

  • Collaborate closely with our world-class teams, learning from and: contributing to their expertise in the field.

  • Possess exceptional software engineering skills, with a proven track record: of building robust and scalable systems.

  • Have a strong command of Python and are well-versed in popular deep learning: frameworks like JAX, PyTorch, and TensorFlow, with an understanding of their multimodal capabilities.

  • Knowledge of distributed training strategies, especially for large-scale multimodal models.

What they're looking for

  • Familiarity with autoregressive models, particularly their application in: multimodal tasks such as image or video captioning, speech-to-text generation.
  • Bonus: Publications in top-tier venues demonstrating your expertise in multimodal AI research.
  • Bonus: Experience in writing efficient GPU kernels using CUDA, optimising performance for multimodal tasks.
  • Have a deep passion for machine learning and its potential to impact various: industries through multimodal applications.