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Research Internship (Winter 2027)

Cohere· Internships
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RemoteInternPosted 5mo ago

About the role

Cohere’s Research Internship offers opportunities to collaborate with Cohere researchers on designing and implementing novel research ideas and shipping state-of-the-art models to production. Openings span base model training, retrieval augmented generation, data and evaluation, safety, and finetuning across LLM-related research areas. Applicants should be pursuing a PhD in ML/NLP or related fields and available for a 4–6 month full-time internship.

Responsibilities

  • 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.

Qualifications

  • Currently pursuing, or in the process of obtaining, a PhD in Machine Learning, NLP, Artificial Intelligence, or a related discipline (exceptional non-PhD candidates considered).
  • Eligible for work authorization in the country of employment during the internship period.
  • Experience using large-scale distributed training strategies, data annotation and evaluation pipelines, or implementing state-of-the-art ML models.
  • Familiar with autoregressive sequence models, such as Transformers.
  • Strong communication and problem-solving skills; ability to convey complex research findings clearly.
  • Knowledge of programming languages such as Python, C, C++, Lua, or related languages.
  • Knowledge of ML frameworks such as JAX, PyTorch and TensorFlow.
  • Experience building systems based on machine learning and deep learning techniques.
  • Demonstrated passion for applied NLP models and products.

Skills

Required:PhD status in ML/NLP or related discipline (or exceptional non-PhD candidates)Distributed trainingTransformers / autoregressive modelsProgramming (Python, C, C++, Lua)ML frameworks (JAX, PyTorch, TensorFlow)Communication
Last updated Oct 21, 2026. Interested? Apply on the company site.
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