Research Internship, Cohere

• Are currently pursuing, or in the process of obtaining, a PhD in Machine Learning, NLP, Artificial Intelligence, or a related discipline. We will also consider exceptional non-PhD candidates
• Are eligible for work authorization in the country of employment at the time of hire and maintain ongoing work authorization throughout the internship period
• Have experience using large-scale distributed training strategies, data annotation and evaluation pipelines, or implementing state of the art ML models
• Are familiar with autoregressive sequence models, such as Transformers
• Have strong communication and problem-solving skills with the ability to convey complex research findings clearly and succinctly
• Have knowledge, or are knowledgeable, of programming languages such as Python, C, C++, Lua, or related languages
• Have knowledge of related ML frameworks such as JAX, Pytorch and Tensorflow
• Have previous experience in building systems based on machine learning and deep learning techniques
• Demonstrate passion for applied NLP models and products

Desirable

• To be eligible for a Research Internship, you must be currently pursuing a PhD in Machine Learning, NLP, or a related discipline
• You need to be available for a full-time internship that lasts for 4-6 months
• We have offices in Toronto, San Francisco, New York, and London but embrace being remote-friendly
• There are no restrictions on where you can be located for this role
• Conduct cutting-edge machine learning research, building and training large language models
• Focus on research projects aimed at expanding the frontier of knowledge in language modelling and associate areas such as evaluation, multimodal models, optimisation etc
• Disseminate your research results through the production of publications, datasets, and code
• Contribute to research initiatives that have practical applications in Cohere’s product development