Research Internship (Winter 2027)

Collaborate with Cohere researchers and tools on designing and implementing novel research ideas and shipping state-of-the-art models to production. Openings in teams covering base model training, retrieval augmented generation, data and evaluation, safety, and finetuning. We are open to receiving intern applications in any research area relating to LLMs.

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 research results through the production of publications, datasets, and code; Contribute to research initiatives that have practical applications in Cohere’s product development

Requirements

Currently pursuing or in the process of obtaining a PhD in Machine Learning, NLP, Artificial Intelligence, or a related discipline; exceptional non-PhD candidates may be considered; Eligible for work authorization in the country of employment at the time of hire and maintain ongoing work authorization throughout the internship period; Available for a full-time internship lasting 4-6 months; 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 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

Benefits

Weekly lunch stipend of $75/£75 or equivalent in 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 for either parent; Annual enrichment benefits including arts & culture, fitness/wellness, quality time, workspace improvement credit, and education & learning stipend for conferences, courses, and coaching; 6 weeks of paid vacation (30 working days); Budget for traveling to other offices if remote, plus annual company offsite; Daily lunch program, snacks, and regular community and social events for those in the office; Co-working benefit for those not near an office; $500 home office stipend