Research Internship (Fall / Winter 2026)
Research Internship (Fall / Winter 2026)

Research Internship (Fall / Winter 2026)

Internship 20000 - 30000 £ / year (est.) Home office (partial)
Cohere

At a Glance

  • Tasks: Conduct cutting-edge research in machine learning and develop state-of-the-art language models.
  • Company: Join a pioneering AI startup dedicated to scaling intelligence for humanity.
  • Benefits: Enjoy flexible remote work, health benefits, and a generous vacation policy.
  • Other info: Inclusive culture with opportunities for personal and professional growth.
  • Why this job: Collaborate with top researchers and shape the future of AI technology.
  • Qualifications: Pursuing a PhD in Machine Learning or related fields; strong programming skills required.

The predicted salary is between 20000 - 30000 £ per year.

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!

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 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)

Research Internship (Fall / Winter 2026) employer: Cohere

Cohere is an exceptional employer that fosters a vibrant and inclusive work culture, where innovation thrives and every team member contributes to groundbreaking AI research. With a focus on employee well-being, we offer generous benefits including a weekly lunch stipend, comprehensive health coverage, and six weeks of vacation, all while providing opportunities for personal and professional growth in a dynamic startup environment. Join us in shaping the future of AI and enjoy the unique advantage of working alongside some of the best minds in the industry, in locations like Toronto, New York, and London.
Cohere

Contact Detail:

Cohere Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Research Internship (Fall / Winter 2026)

✨Tip Number 1

Network like a pro! Reach out to current or former interns and employees at Cohere on LinkedIn. Ask them about their experiences and any tips they might have for landing the internship. Personal connections can make a huge difference!

✨Tip Number 2

Show off your skills! If you’ve worked on relevant projects, create a portfolio or GitHub repository showcasing your work. This is your chance to demonstrate your expertise in machine learning and NLP, so make it shine!

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts clearly and succinctly, as communication is key in research roles. We want to see how you think!

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission to scale intelligence for humanity.

We think you need these skills to ace Research Internship (Fall / Winter 2026)

Machine Learning
Natural Language Processing (NLP)
Large Language Models (LLMs)
Data Annotation
Distributed Training Strategies
Transformers
Python
C++
JAX
PyTorch
TensorFlow
Analytical Problem Solving
Communication Skills
Research Publication
Deep Learning Techniques

Some tips for your application 🫡

Show Your Passion: Let us see your enthusiasm for AI and machine learning! Share any personal projects or research that highlight your interest in the field. We love candidates who are genuinely excited about what they do.

Tailor Your Application: Make sure to customise your CV and cover letter for this role. Highlight relevant experiences and skills that align with our mission and the specific research areas mentioned in the job description. It shows us you’ve done your homework!

Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to convey your ideas and experiences. We appreciate candidates who can communicate complex concepts simply and effectively.

Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Cohere

✨Know Your Research

Before the interview, dive deep into your own research and be ready to discuss it in detail. Make sure you can explain your findings clearly and how they relate to the work Cohere is doing in AI and language models.

✨Familiarise with the Tools

Get comfortable with the programming languages and ML frameworks mentioned in the job description, like Python, JAX, and PyTorch. Being able to discuss your experience with these tools will show that you're prepared and capable.

✨Show Your Passion

Cohere values passion for applied NLP models and products. Be ready to share why you're excited about this field and how your interests align with their mission to scale intelligence for humanity.

✨Prepare Questions

Have thoughtful questions ready for your interviewers. This shows your genuine interest in the role and helps you understand how you can contribute to the team’s goals and projects.

Research Internship (Fall / Winter 2026)
Cohere

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