Research Internship (Fall, 2026)

Why this role?

To have the opportunity to collaborate with Cohere researchers and tools on designing and implementing novel research ideas and shipping state-of-the-art models to production.

We have openings in teams covering base model training, retrieval augmented generation, data and evaluation, safety, and finetuning, to name a few; and we are open to receiving intern applications in any research area relating to LLMs to broaden your research connections while obtaining deep experience in a growing AI startup.

Please Note: To be eligible for a Research Internship, you must be currently pursuing a PhD in Machine Learning, NLP, or a related discipline. You need to be available for a full-time internship that lasts for 4-6 months.

What you'll do

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.
• Eligible for work authorization in the country of employment at the time of hire and maintain ongoing work authorization throughout the internship period.
• Experience using large-scale distributed training strategies, data annotation and evaluation pipelines, or implementing state of the art ML models.
• Familiarity with autoregressive sequence models, such as Transformers.
• Strong communication and problem-solving skills with the ability to convey complex research findings clearly and succinctly.
• Knowledge of programming languages such as Python, C, C++, Lua, or related languages.
• Knowledge of related ML frameworks such as JAX, Pytorch and Tensorflow.
• Previous experience in building systems based on machine learning and deep learning techniques.
• Demonstrated passion for applied NLP models and products.

Preferred Qualifications

• Demonstrated expertise through publications in top tier venues in fields such as machine learning, NLP, artificial intelligence, computer vision, optimization, computer science, statistics, applied mathematics, or data science.
• Prominent ability to tackle analytical problems using quantitative methodologies.
• Proficiency in handling and analyzing complex, high-dimensional data from various sources.
• Experience in applying theoretical and empirical research to real-world problem-solving.

Full-Time Employees At Cohere Enjoy These Perks

• A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
• Full health and dental benefits, including a separate budget for mental health.
• RRSP matching, 401K, Pension Scheme.
• 100% Parental Leave top-up for up to 6 months, for either parent.
• Annen enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
• Education & learning stipend for conferences, courses, and coaching.
• 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite.

How And Where We Work

• Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon.
• For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
• For those not near an office: a co-working benefit so you can work alongside others in your city.
• Everyone receives a $500 home office stipend to set up your workspace properly.