Staff Research Engineer, Model Efficiency
CohereNew York, New York, United States • San Francisco, California, United States • Toronto, Ontario, Canada • Montreal, Quebec, Canada
Posted November 7, 2025
Full Time
About the Company
Cohere is a leading security-first enterprise AI company specializing in cutting-edge foundation models and end-to-end AI products. We offer seamless integration, full customization, and easy-to-use solutions for businesses, ensuring data security and privacy across various deployment environments. Our focus on natural language processing, machine learning, and artificial intelligence makes us distinctive in solving real-world business problems.
Job Description
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! We are looking for a Staff Research Engineer, Model Efficiency to develop, prototype, and deploy techniques that materially improve how fast and efficiently our models run in production.
Requirements
- Have a PhD in Machine Learning or a related field
- Understand LLM architecture, and how to optimize LLM inference given resource constraints
- Have significant experience with one or more techniques that enhance model efficiency
- Strong software engineering skills
- An appetite to work in a fast-paced high-ambiguity start-up environment
- Publications at top-tier conferences and venues (ICLR, ACL, NeurIPS)
- Passion to mentor others
Benefits
- Open and inclusive culture and work environment
- Full health and dental benefits
- 100% Parental Leave top-up for up to 6 months
- Personal enrichment benefits
- Remote-flexible work options
- Vacation time
