Research Intern collaborating on cutting-edge machine learning research and large language models development at Cohere. Engaging in various projects while pursuing a PhD or similar discipline.
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.
Requirements
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
A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
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:
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.
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