Staff Research Engineer, Model Efficiency

at  Cohere

WHO ARE WE?

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!

Large Language Models (LLMs) have demonstrated remarkable performance across various tasks. However, the substantial computational and memory requirements of LLM inference pose challenges for deployment. The mission of the model efficiency team is pushing the limits of LLM serving efficiency of our foundation models with techniques such as model architecture optimization, efficient algorithms, and software/hardware co-optimization.
As a Staff Research Engineer in the model efficiency team, you will develop innovative solutions to boost the performance of LLM inference.
Please Note: We have offices in Toronto, San Francisco, New York and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You’ll find the Model Efficiency team concentrated in the EST and PST time zones.