Staff Research Engineer, Model Efficiency - Fast Inference

Cohere; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Lunch stipend

Health & dental benefits

RRSP matching / 401K

Parental leave

Enrichment benefits

Education stipend

Paid vacation

Travel budget

Job summary

Cohere is seeking a Staff Research Engineer to advance model efficiency for foundation models. You will prototype and deploy techniques to speed up production runs and improve inference efficiency in a remote-friendly, startup-like setting.

You’ll work with a distributed team across EST/PST time zones, contributing to research, engineering, and collaboration with product teams. This role emphasizes leadership, rigorous research, and impactful delivery.

Qualifications

• PhD in Machine Learning or a related field.
• Deep understanding of LLM architecture and efficient inference.
• Experience with techniques that improve model efficiency.
• Strong software engineering skills.
• Ability to thrive in a fast-paced startup environment.
• Publications at top conferences (ICLR, ACL, NeurIPS).
• Mentor others.

Skills

Software engineering

Mentor others

Publications in ML conferences

LLM/ML understanding

Education

PhD in Machine Learning or related field

Job description

Cohere is seeking a Staff Research Engineer to advance model efficiency for foundation models. You will prototype and deploy techniques to speed up production runs and improve inference efficiency in a remote-friendly, startup-like setting.

You’ll work with a distributed team across EST/PST time zones, contributing to research, engineering, and collaboration with product teams. This role emphasizes leadership, rigorous research, and impactful delivery.