Full-Time

Staff Research Engineer

Model Efficiency

Posted on 8/16/2024

Cohere

Cohere

501-1,000 employees

Provides NLP tools and LLMs via API

AI & Machine Learning

Senior, Expert

Seattle, WA, USA

Hybrid position in Seattle.

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
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
  • Have strong software engineering skills
  • Have an appetite to work in a fast-paced high-ambiguity start-up environment
  • Published and presented at top-tier conferences and venues (ICLR, ACL, NeurIPS)
  • Are passionate about mentoring others
Responsibilities
  • develop innovative solutions to boost the performance of LLM inference

Cohere provides advanced Natural Language Processing (NLP) tools and Large Language Models (LLMs) through a user-friendly API. Their services cater to a wide range of clients, including businesses that want to improve their content generation, summarization, and search functions. Cohere's business model focuses on offering scalable and affordable generative AI tools, generating revenue by granting API access to pre-trained models that can handle tasks like text classification, sentiment analysis, and semantic search in multiple languages. The platform is customizable, enabling businesses to create smarter and faster solutions. With multilingual support, Cohere effectively addresses language barriers, making it suitable for international use.

Company Stage

Series D

Total Funding

$914.4M

Headquarters

Toronto, Canada

Founded

2019

Growth & Insights
Headcount

6 month growth

4%

1 year growth

5%

2 year growth

8%
Simplify Jobs

Simplify's Take

What believers are saying

  • Cohere's AI data center project positions it as a key player in Canadian AI.
  • North platform offers secure AI deployment for regulated industries, enhancing privacy-focused enterprise solutions.
  • Cohere's multilingual support breaks language barriers, expanding its global market reach.

What critics are saying

  • Competitors like Google and Microsoft may overshadow Cohere with seamless enterprise system integration.
  • Reliance on Nvidia chips poses risks if supply chain issues arise or strategic focus shifts.
  • High cost of AI data center could strain financial resources if government funding is delayed.

What makes Cohere unique

  • Cohere's North platform outperforms Microsoft Copilot and Google Vertex AI in enterprise functions.
  • Rerank 3.5 model processes queries in over 100 languages, enhancing multilingual search capabilities.
  • Command R7B model excels in RAG, math, and coding, outperforming competitors like Google's Gemma.

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