Cohere - Research Internship (Fall / Winter 2026)

Remote - United Kingdom, European Union, United States, Canada3mo ago

Remote Intern EMEA Mental Health Artificial Intelligence Research Intern Associate C++Lua JAX Python PyTorch

Requirements

• 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 analysing complex, high-dimensional data from various sources. • Experience in applying theoretical and empirical research to real-world problem-solving. • If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! • We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. • Full-Time Employees at Cohere enjoy these Perks: • 🤝 An open and inclusive culture and work environment • 🧑‍💻 Work closely with a team on the cutting edge of AI research • 🍽 Weekly lunch stipend, in-office lunches & snacks • 🦷 Full health and dental benefits, including a separate budget to take care of your mental health • 🐣 100% Parental Leave top-up for up to 6 months • 🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement • 🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend • ✈️ 6 weeks of vacation (30 working days!)

Responsibilities

• 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. • You may be a good fit if you: • Are currently pursuing, or in the process of obtaining, a PhD in Machine Learning, NLP, Artificial Intelligence, or a related discipline. We will also consider exceptional non-PhD candidates. • Are eligible for work authorization in the country of employment at the time of hire and maintain ongoing work authorization throughout the internship period. • Have experience using large-scale distributed training strategies, data annotation and evaluation pipelines, or implementing state of the art ML models. • Are familiar with autoregressive sequence models, such as Transformers. • Have strong communication and problem-solving skills with the ability to convey complex research findings clearly and succinctly. • Have knowledge, or are knowledgeable, of programming languages such as Python, C, C++, Lua, or related languages. • Have knowledge of related ML frameworks such as JAX, Pytorch and Tensorflow. • Have previous experience in building systems based on machine learning and deep learning techniques. • Demonstrate passion for applied NLP models and products.

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. • If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. • We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. • We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.