Research Internship (Winter 2027)

The role

You will conduct cutting-edge machine learning research by building and training large language models. You will focus on research projects in language modelling and associate areas to expand the frontier of knowledge.

What you will 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.

Required qualifications

• Currently pursuing a PhD in Machine Learning, NLP, or a related discipline or exceptional non-PhD candidates.
• 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.
• Familiar 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.
• Demonstrate passion for applied NLP models and products.

Nice to have

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

Benefits

• Weekly lunch stipend of $75/£75 or equivalent in your local currency
• 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
• Annual 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
• Budget for traveling to other offices if you are remote, plus an annual company offsite
• Daily lunch program and snacks for those in the office
• Co-working benefit for those not near an office
• $500 home office stipend

Before you apply

• Must be currently pursuing a PhD in Machine Learning, NLP, or a related discipline (exceptional non-PhD candidates considered)
• Must be available for a full-time internship that lasts for 4-6 months
• Must be eligible for work authorization in the country of employment at the time of hire and maintain it throughout the internship

About the company

Cohere is a leading security-first enterprise AI company that builds foundation AI models and end-to-end products. It is a global technology company headquartered in Toronto.