Research Internship (Fall / Winter 2026)

About the Role

The role entails collaborating with Cohere researchers and tools to design and implement novel research ideas, with a focus on shipping state-of-the-art models to production. You'll have the opportunity to work on a range of projects, from base model training to retrieval augmented generation, data and evaluation, safety, and finetuning.

Cohere is a dynamic and innovative company that values diversity and inclusion. As a Research Intern, you'll be part of a team that is passionate about creating a workplace that is welcoming and inclusive to all.

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 associated areas
• 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
• Collaborate with Cohere researchers and tools to design and implement novel research ideas
• Develop and maintain large-scale distributed training strategies, data annotation and evaluation pipelines
• Implement state-of-the-art ML models and evaluate their performance
• Participate in code reviews and contribute to the improvement of the codebase
• Stay up-to-date with the latest developments in the field and apply this knowledge to improve Cohere's products and services

What We Are Looking For

• Currently pursuing, or in the process of obtaining, a PhD in Machine Learning, NLP, Artificial Intelligence, or a related discipline
• Eligibility 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
• 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 mathematics, or data science
• Proven 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

Benefits and Perks

• Opportunity to work on cutting-edge machine learning research and develop large language models
• Collaborative and dynamic work environment with a talented team of researchers and engineers
• Professional development opportunities, including training and education programs
• Access to the latest tools and technologies in the field
• Flexible working hours and remote work options
• Competitive compensation package
• Comprehensive health insurance plan
• Generous paid time off policy
• Annual stipend for professional development and education

• Familiarize yourself with Cohere's products and services, and be prepared to discuss how your research experience aligns with their mission and goals.
• Review the latest developments in machine learning and NLP, and be prepared to discuss your thoughts on the current state of the field.
• Practice presenting your research findings clearly and succinctly, and be prepared to provide examples of your work.
• Be prepared to discuss your experience with large-scale distributed training strategies, data annotation and evaluation pipelines, and implementing state-of-the-art ML models.
• Don't be afraid to ask questions during the interview process, and be prepared to discuss your long-term career goals and how they align with Cohere's mission.
• Make sure to proofread your application materials carefully, and be prepared to provide examples of your writing and coding skills.
• Research the company culture and values, and be prepared to discuss how you would contribute to and thrive in Cohere's dynamic and inclusive work environment.