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
• 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
• You need to be available for a full-time internship that lasts for 4-6 months

Desirable

• Have the opportunity to collaborate with Cohere researchers and tools on designing and implementing novel research ideas and shipping state-of-the-art models to production
• We have openings in teams covering base model training, retrieval augmented generation, data and evaluation, safety, and finetuning, to name a few; and we are open to receiving intern applications in any research area relating to LLMs
• Broaden your research connections while obtaining deep experience in a growing AI startup
• 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