Research Internship (Fall, 2026)

Cohere; Greater London; On-site; GBP 30,000 - 45,000; Full time

Benefits offered by this job

Open and inclusive culture

Weekly lunch stipend and in-office lunches

Full health and dental benefits

6 weeks of vacation

Job summary

Cohere in Greater London seeks a Research Intern for a full-time internship lasting 4-6 months. Candidates must be pursuing a PhD in Machine Learning, NLP, or a related field. The intern will conduct machine learning research, contribute to cutting-edge AI models, and work with experienced researchers. Cohere offers a dynamic and inclusive work environment with excellent perks like health benefits and a 6-week vacation policy.

Qualifications

• Eligible for work authorization in the country of employment.
• Experience using large-scale distributed training strategies.
• Have knowledge of ML frameworks like JAX, PyTorch and TensorFlow.

Responsibilities

• Conduct machine learning research, building and training large language models.
• Focus on projects related to language modeling and optimization.
• Disseminate research results through publications and datasets.

Skills

Strong communication skills

Problem-solving skills

Experience with large-scale distributed training

Familiarity with autoregressive sequence models

Knowledge of programming languages

Passion for applied NLP models

Education

Currently pursuing a PhD in Machine Learning, NLP, or related discipline

Tools

Python

C++

PyTorch

TensorFlow

Job description

Overview

Who are we? Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future!

Why this role? To have the opportunity to collaborate with Cohere researchers and tools on designing and implementing novel research ideas and shipping state-of-the-art models to production. We have openings in teams covering base model training, retrieval augmented generation, data and evaluation, safety, and finetuning, to name a few; and we are open to receiving intern applications in any research area relating to LLMs to broaden your research connections while obtaining deep experience in a growing AI startup.

Please Note: To be eligible for a Research Internship, you must be currently pursuing a PhD in Machine Learning, NLP, or a related discipline. You need to be available for a full-time internship that lasts for 4-6 months.

As a Cohere Research Intern, You Will

• 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 modelling and associated areas such as evaluation, multimodal models, and optimisation.
• Disseminate your research results through the production of publications, datasets, and code.
• Contribute to research initiatives that have practical applications in Cohere’s product development.

You May Be a Good Fit If You

• Are currently pursuing, or in the process of obtaining, a PhD in Machine Learning, NLP, Artificial Intelligence, or a related discipline. We will also consider exceptional non-PhD candidates.
• Are eligible for work authorization in the country of employment at the time of hire and maintain ongoing work authorization throughout the internship period.
• Have experience using large-scale distributed training strategies, data annotation and evaluation pipelines, or implementing state of the art ML models.
• Are familiar with autoregressive sequence models, such as Transformers.
• Have strong communication and problem-solving skills with the ability to convey complex research findings clearly and succinctly.
• Have knowledge, or are knowledgeable, of programming languages such as Python, C, C++, Lua, or related languages.
• Have knowledge of related ML frameworks such as JAX, PyTorch and TensorFlow.
• Have previous experience in building systems based on machine learning and deep learning techniques.
• Demonstrate passion for applied NLP models and products.

Preferred Qualifications

• Demonstrated expertise through publications in top-tier venues in fields such as machine learning, NLP, artificial intelligence, computer vision, optimization, computer science, statistics, applied mathematics, or data science.
• Proven ability to tackle analytical problems using quantitative methodologies.
• Proficiency in handling and analysing complex, high-dimensional data from various sources.
• Experience in applying theoretical and empirical research to real-world problem-solving.

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

Full-Time Employees At Cohere Enjoy These Perks

• Open and inclusive culture and work environment
• Work closely with a team on the cutting edge of AI research
• Weekly lunch stipend, in-office lunches & snacks
• Full health and dental benefits, including a separate budget to take care of your mental health
• Parental Leave top-up for up to 6 months
• Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
• Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
• 6 weeks of vacation (30 working days)