Staff Research Engineer, Model Efficiency
Cohere · New York City, NY · Modeling
About this role
Cohere is hiring a staff-level Research Scientist in the machine learning function based in New York City, NY. The posting calls out experience with LLMs, RAG, Machine Learning. Listed education preference: a Ph.D. or equivalent.
- Role
- Research Scientist
- Function
- machine learning
- Level
- staff
- Track
- Tech leadership
- Employment
- Full-time
- Location
- New York City, NY
- Education
- Ph.D. preferred
- Department
- Modeling
- Posted
- Nov 7, 2025
More roles at Cohere
Job description
from Cohere careersWho 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!
Why this role?
Large Language Models (LLMs) continue to push the boundaries of what AI systems can do — but inference is still the bottleneck. The Model Efficiency team is responsible for pushing the limits of LLM inference efficiency across our foundation models. We explore and ship breakthroughs across the model execution stack, including: