- You’ll 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 to 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

Benefits

- Six weeks’ paid vacation

- Equity / stock options
- RRSP, 401(k), and Pension Scheme contributions

- Coverage for 100% of your insurance premiums across health, dental, vision, and travel

- Additional coverage for accessing mental health providers/services

- Six months of fully paid parental leave, including adoption and surrogacy

- Financial support for egg freezing and IVF in Canada and the UK
- A monthly fitness and wellness allowance

- Globally dispersed company that supports a work from home culture
- A $2,000 annual education benefit for professional development
- A weekly stipend for meals when working remotely and catered lunch when working from one of our global offices
- A monthly arts and culture allowance
- A monthly quality time allowance- 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 previous experience in building systems based on machine learning and deep learning techniques

- Have strong communication and problem-solving skills with the ability to convey complex research findings clearly and succinctly

- Have knowledge of related ML frameworks such as JAX, Pytorch and Tensorflow

- Have knowledge, or are knowledgeable, of programming languages such as Python, C, C++, Lua, or related languages

- Have experience using large-scale distributed training strategies, data annotation and evaluation pipelines, or implementing state of the art ML models

- Demonstrate passion for applied NLP models and products

- Are familiar with autoregressive sequence models, such as Transformers

- Proficiency in handling and analysing complex, high-dimensional data from various sources

- 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

- Experience in applying theoretical and empirical research to real-world problem-solving
- 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

- Proven ability to tackle analytical problems using quantitative methodologies

- If any of the above doesn’t line up exactly with your experience, we still encourage you to apply

📌 Research Internship (Fall, Winter 2026) (Canada)
🏢 Cohere
📍 Canada