Research Internship (Fall / Winter 2026)

Requirements

• We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents.
• We believe that our work is instrumental to the widespread adoption of AI.
• experience in a growing AI startup.
• Please Note: 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.
• you will: - 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.
• You may be a good fit if you: - 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.
• - 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. Preferred
• Qualifications: - Demonstrated expertise through publications in top tier venues in fields such as machine learning, NLP, artificial intelligence, computer vision, optimization, computer science, statistics, applied mathematics, or data science. - Proven ability to tackle analytical problems using quantitative methodologies. - Proficiency in handling and analysing complex, high-dimensional data from various sources. -
• Experience in applying theoretical and empirical research to real-world problem-solving.