About the role#
This is a full-time research internship for the Fall 2026 or Winter 2027 terms. You will work alongside researchers to design and implement novel ideas, contributing to projects that span base model training, retrieval augmented generation, data evaluation, safety, and finetuning. The role focuses on bridging the gap between theoretical research and production-ready machine learning systems.
What you'll do#
- Conduct cutting-edge machine learning research, including building and training large language models.
- Expand the frontier of knowledge in language modeling and related areas such as evaluation, multimodal models, and optimization.
- Disseminate research results through the production of publications, datasets, and code.
- Contribute to research initiatives that have practical applications in product development.
What you'll need#
- Current enrollment in a PhD program in Machine Learning, NLP, or a related discipline.
- Experience with large-scale distributed training strategies, data annotation and evaluation pipelines, or implementing state-of-the-art machine learning models.
- Proficiency in ML frameworks such as JAX, PyTorch, or TensorFlow.
- Previous experience building systems based on machine learning and deep learning techniques.
- Ability to communicate complex research findings clearly and succinctly.
Location & details#
- This is a remote position.
- The internship is a full-time commitment lasting 4 to 6 months.
- This is a paid internship.
- Candidates must maintain valid work authorization in the country of employment for the duration of the internship.
About Cohere
Cohere builds foundation models and artificial intelligence products for enterprise use. Founded in 2019, the company focuses on natural language processing and machine learning. It provides tools that allow businesses to deploy AI across private cloud environments or on-premises. The company maintains its headquarters in Toronto and operates several international offices.
How to get in at Cohere
Applying to Cohere early provides a distinct advantage because recruiters review initial submissions before the volume of candidates becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first and ensure your materials are seen before the pile grows. Reaching out to the right people often yields better results than submitting an application into a general queue. Intern Insider surfaces the recruiters behind the company roles so you can reach out directly to ask about the position or a referral, which materially improves response rates.
