Safety Research Internship (Spring/Summer 2026) at Cohere · Montreal

Summary: Cohere is a company focused on scaling intelligence to serve humanity through frontier AI models. The Safety Research Internship offers the opportunity to collaborate with the Modelling Safety Team on implementing research ideas related to fairness, safety, robustness, and interpretability in machine learning. Interns will conduct research, publish findings, and contribute to practical applications in product development. Responsibilities: - Conduct cutting-edge machine learning research, training and evaluating production large language models - Focus on research projects aimed at making models better understood, safer, more reliable, more inclusive, and more beneficial for the world - 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 - Available for a full-time internship that lasts for 4-6 months - 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 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 - 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 Required Skills: Machine Learning, NLP, Large-scale distributed training Important Skills: Programming languages, ML frameworks Nice-to-Have Skills: Passion for NLP Internship Start Date: Start in 2026 Spring Benefits: 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!)