Cohere
Research Internship (Winter 2027)
Canada +7 · Remote · Internship · Posted May 1, 2026
- Location
- Canada
San Francisco
Europe
London
United States
United Kingdom
Toronto
Montreal - Education
- Currently pursuing a PhD in Machine Learning, NLP, Artificial Intelligence, or a related discipline; exceptional non-PhD candidates may be considered.
- Visa sponsorship
- Must be eligible for work authorization in the country of employment at hire and maintain it throughout the internship.
About the job
Conduct machine learning research on large language models, develop and train models, and share findings through publications, datasets, and code with practical applications in Cohere products.
What you'll do
- Conduct research building and training large language models, including work in language modeling, evaluation, multimodal models, and optimization.
- Disseminate research through publications, datasets, and code.
- Contribute research with practical applications in product development.
What they ask for
- Currently pursuing a PhD in Machine Learning, NLP, Artificial Intelligence, or a related discipline; exceptional non-PhD candidates may also be considered.
- Experience with large-scale distributed training, data annotation and evaluation pipelines, or implementing state-of-the-art ML models.
- Familiarity with autoregressive sequence models such as Transformers; experience building systems using machine learning and deep learning.
- Knowledge of programming languages such as Python, C, C++, or Lua, and ML frameworks such as JAX, Pytorch, or Tensorflow.
Nice to have
- Publications in top-tier venues in relevant fields.
- Experience with quantitative analysis, complex high-dimensional data, or applying research to real-world problems.
Tools
Transformers, Python, C, C++, Lua, JAX, Pytorch, Tensorflow
AI focus
Research and train large language models, including work related to evaluation, multimodal models, optimization, and product development.
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