Research Internship (Fall 2025)

Position Overview

• Location Type: Remote
• Employment Type: Full-Time
• Salary: Not provided Cohere is a company focused on scaling intelligence to serve humanity, training and deploying frontier models for developers and enterprises. They emphasize a collaborative, fast-paced environment and a commitment to building impactful AI systems.

Why this Role?

• Opportunity to collaborate with Cohere researchers and tools on designing and implementing novel research ideas.
• Openings in various research teams including:
  • Base model training
  • Retrieval augmented generation
  • Data and evaluation
  • Safety
  • Fine-tuning
• Internships available in any research area relating to LLMs.
• Internship duration: 4-6 months.
• Note: To be eligible for a Research Internship, candidates must be currently pursuing a PhD in Machine Learning, NLP, or a related discipline (PhD preferred, exceptional non-PhD candidates considered).

Responsibilities

• Conduct cutting-edge machine learning research, building and training large language models.
• Focus on research projects aimed at expanding the frontier of knowledge in language modeling and associated areas (e.g., evaluation, multimodal models, optimization).
• Disseminate research results through publications, datasets, and code.
• Contribute to research initiatives with practical applications in Cohere’s product development.

Requirements

• Currently pursuing, or in the process of obtaining, a PhD in Machine Learning, NLP, Artificial Intelligence, or a related discipline (PhD preferred).
• Eligible for work authorization in the country of employment at the time of hire and maintain ongoing work authorization throughout the internship period.
• Experience with large-scale distributed training strategies, data annotation and evaluation pipelines, or implementing state-of-the-art ML models.
• Familiarity with autoregressive sequence models, such as Transformers.
• Strong communication and problem-solving skills, with the ability to convey complex research findings clearly and succinctly.
• Knowledge of programming languages such as Python, C, C++, Lua, or related.

Company Information

• Mission: To scale intelligence to serve humanity.
• Focus: Training and deploying frontier models for developers and enterprises.
• Values: Obsession over building, collaborative, fast-paced, commitment to impactful AI systems, diverse perspectives.