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To have the opportunity to collaborate with Cohere researchers and tools on designing and implementing novel research ideas and shipping state-of-the-art models to production. We have openings in teams covering base model training, retrieval augmented generation, data and evaluation, safety, and finetuning, to name a few; and we are open to receiving intern applications in any research area relating to LLMs to broaden your research connections while obtaining deep experience in a growing AI startup.
Job Responsibility:
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:
Currently pursuing a PhD in Machine Learning, NLP, or a related discipline
Must be 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
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
What we offer:
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