Cohere
The Staff Research Engineer, Model Efficiency at Cohere is responsible for enhancing the inference efficiency of Large Language Models (LLMs) within AI systems. This role involves developing and deploying novel techniques to optimize model architecture, decoding algorithms, and software/hardware co-design for GPU acceleration. Candidates should possess a PhD in Machine Learning, significant experience in model efficiency techniques, strong software engineering skills, and a background in research publications.
Cohere is an AI company that builds large language models and enterprise AI platforms for businesses and developers.
Nvidia-Backed Cohere Forms AI Alliance With Telecom Firm BCE
15 hours ago
Enterprise AI startup Cohere tops revenue target as momentum builds to IPO: Investor memo
1 month ago
Cohere joins Aston Martin Aramco as Official Generative AI Partner to help accelerate AI innovation
2 weeks ago
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Cohere.
Cohere didn’t post a salary, so this is our estimate from similar listings.
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