AI Jobs & Internships at Cohere 2026
Cohere is an enterprise-focused AI company building large language models and AI platform infrastructure for business applications. Founded by University of Toronto AI researchers including Aidan Gomez (co-inventor of the Transformer architecture), Cohere has differentiated from consumer AI companies by focusing on data privacy, enterprise integration, and deploying LLMs in private cloud and on-premise environments. Their Command and Embed model families are widely used for search, summarization, and conversational AI in enterprise contexts.
AI Roles at Cohere
NLP Engineer
Research Scientist
ML Engineer
Fine-Tuning Engineer
Solutions Engineer
AI Safety Researcher
RAG Engineer
Backend Engineer
Work Culture at Cohere
Cohere maintains a research-forward culture with strong connections to the academic NLP community, particularly the University of Toronto. The company is notably more distributed and remote-friendly than most AI labs, with significant teams in Toronto, London, and San Francisco. The enterprise focus creates a different pace than pure research labs — product deadlines and customer requirements shape research priorities more directly. The culture is collaborative and intellectually engaged, with active paper publication alongside product development.
How to Get a Job at Cohere
- 1.
Familiarity with Cohere's model APIs and published research on Command R and Embed models demonstrates genuine interest
- 2.
NLP research background — transformer fine-tuning, RLHF, evaluation methodology — is particularly valued given Cohere's roots
- 3.
Enterprise use case knowledge (RAG for search, document summarization, API integration) is relevant for applied and engineering roles
- 4.
Cohere's distributed culture means remote candidates are competitive — don't assume Toronto-based candidates are preferred for all roles
- 5.
Contributing to or engaging with the open-source NLP community (Hugging Face, academic venues) provides visibility to Cohere's hiring team