Cohere is looking to train and deploy frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. The company aims to scale intelligence to serve humanity and believes its work is instrumental to the widespread adoption of AI.
Requirements
- Are familiar with autoregressive sequence models, such as Transformers.
- 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.
- Have experience using large-scale distributed training strategies, data annotation and evaluation pipelines, or implementing state of the art ML models.
- 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.
- Proficiency in handling and analysing complex, high-dimensional data from various sources.
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.
- Collaborate with Cohere researchers and tools on designing and implementing novel research ideas and shipping state-of-the-art models to production.
Other
- To be eligible for a Research Internship, you must be currently pursuing a PhD in Machine Learning, NLP, or a related discipline.
- You need to be available for a full-time internship that lasts for 4-6 months.
- 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 strong communication and problem-solving skills with the ability to convey complex research findings clearly and succinctly.
- Demonstrate passion for applied NLP models and products.
