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Research Internship (Winter 2027)

CohereCanadaInternships
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Salary
Not listed
Job type
Internship
Work mode
Remote
Posted
1 May 2026
Status
Open · checked 8d ago

About this role

Role Overview

The Research Internship (Winter 2027) at Cohere is a full-time opportunity located in Canada with remote flexibility, tailored for individuals passionate about artificial intelligence. This position suits doctoral candidates eager to design novel research concepts, build large language models, and transition state-of-the-art tech into production environments.

Key Responsibilities

Drive advanced machine learning research by constructing and training frontier large language models.
Investigate projects that broaden language modelling boundaries, touching upon evaluation, multimodal architectures, and optimization.
Publish study outcomes via public datasets, codebases, and academic papers.
Support research initiatives that directly feed into practical commercial product development.

Requirements

Currently pursuing, or working toward, a PhD in Machine Learning, Natural Language Processing, Artificial Intelligence, or a closely tied subject (exceptional non-PhD applicants are also welcomed).
Must hold legal work authorization for the employment location upon hiring and throughout the duration of the internship.
Background in large-scale distributed training setups, evaluation workflows, data annotation, or implementing state-of-the-art machine learning models.
Familiarity with Transformer-based autoregressive sequence models.
Clear problem-solving abilities and strong verbal or written communication skills.
Programming capability in languages such as Python, C, C++, or Lua.
Experience utilizing machine learning frameworks including PyTorch, TensorFlow, or JAX.
Demonstrated enthusiasm for applied natural language processing products and models.

Nice to Have

Proven track record of publications in top-tier venues spanning computer science, artificial intelligence, machine learning, statistics, applied mathematics, computer vision, optimization, or data science.
Demonstrated aptitude for resolving analytical issues using quantitative techniques.
Skill in processing and interpreting complex, high-dimensional data collections.
Practical background translating empirical and theoretical research into functional solutions.

Skills and Tools

Python
PyTorch
TensorFlow
C++
Natural Language Processing (NLP)
Computer Vision

About the Company

Cohere functions as a leading security-first enterprise artificial intelligence organization creating foundational models and end-to-end commercial solutions. The company operates globally with a headquarters in Toronto and major offices spanning London, New York City, San Francisco, Montreal, Paris, Berlin, and Seoul.

How to Apply

Submit applications directly through the official company careers page to be considered for this research opportunity.

Skills and tech stack

PythonPyTorchTensorFlowC++NLPComputer Vision

Questions candidates ask

What is the duration of the Research Internship?

The internship requires a full-time commitment lasting between 4 to 6 months.

Who is eligible to apply for this role?

Applicants must typically be pursuing a PhD in Machine Learning, NLP, AI, or a related field, though exceptional non-PhD candidates are also considered. Candidates must also have valid work authorization.

What teams can interns work with?

Interns may join various focus groups including base model training, retrieval augmented generation, data and evaluation, safety, and finetuning.

Is the position remote?

Cohere offers remote-friendly arrangements in Canada, alongside physical office spaces in cities like Toronto, Montreal, and others.

What programming languages and frameworks are preferred?

Candidates should be familiar with languages like Python, C, or C++, and machine learning frameworks such as PyTorch, TensorFlow, or JAX.

Ready to apply?

The application is on the official Cohere careers page.

Apply on company site