Research Internship Winter 2027
Toronto-founded enterprise AI company building foundation models, agentic AI, enterprise search, and private deployment products.
About Cohere
Cohere provides enterprise-focused AI models and end-to-end products, including North for agentic workplace AI, Compass for enterprise search, and models for generation and retrieval. It supports private, VPC, and on-premises deployment options.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will conduct machine learning research, build and train large language models, and work on research projects in language modelling, evaluation, multimodal models, and optimisation. You will share results through publications, datasets, and code, and contribute research with practical product applications.
Requirements
- Currently pursue a PhD in Machine Learning, NLP, Artificial Intelligence, or a related discipline, or be an exceptional non-PhD candidate
- Maintain work authorization in the country of employment throughout the internship
- Be available for a full-time internship lasting 4 to 6 months
- Experience with distributed training strategies, data annotation and evaluation pipelines, or state-of-the-art ML models
- Knowledge of autoregressive sequence models such as Transformers
- Knowledge of Python, C, C++, Lua, or related languages
- Knowledge of JAX, PyTorch, and TensorFlow
- Experience building machine learning and deep learning systems
Responsibilities
- Conduct machine learning research and build and train large language models
- Develop research projects in language modelling, evaluation, multimodal models, and optimisation
- Disseminate research through publications, datasets, and code
- Contribute research initiatives with practical product applications