At a Glance
- Tasks: Conduct cutting-edge machine learning research and build large language models.
- Company: Join a leading 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; exceptional non-PhD candidates welcome.
The predicted salary is between 20000 - 30000 £ per year.
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.
- You are eligible for work authorization in the country of employment at the time of hire and maintain ongoing work authorization throughout the internship period.
- You have experience using large-scale distributed training strategies, data annotation and evaluation pipelines, or implementing state of the art ML models.
- You are familiar with autoregressive sequence models, such as Transformers.
- You have strong communication and problem-solving skills with the ability to convey complex research findings clearly and succinctly.
- You have knowledge of programming languages such as Python, C, C++, Lua, or related languages.
- You have knowledge of related ML frameworks such as JAX, PyTorch and TensorFlow.
- You have previous experience in building systems based on machine learning and deep learning techniques.
- You 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, 2026) in London 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 generous benefits such as a weekly lunch stipend, comprehensive health coverage, and a commitment to personal enrichment, employees enjoy a supportive environment that prioritises well-being and professional growth. Located in major cities like Toronto, New York, and London, Cohere offers flexible remote options and a collaborative atmosphere that empowers interns to make meaningful contributions while shaping the future of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Research Internship (Fall, 2026) in London
✨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! Prepare a portfolio of your projects, especially those related to machine learning and NLP. When you get the chance to chat with someone from Cohere, share your work and how it aligns with their mission. It’s all about making that connection!
✨Tip Number 3
Be ready for technical interviews! Brush up on your knowledge of large-scale distributed training strategies and autoregressive models. Practice explaining complex concepts clearly, as communication is key in research roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Cohere team. Don’t miss out on this opportunity!
We think you need these skills to ace Research Internship (Fall, 2026) in London
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI and machine learning shine through! We want to see that you’re genuinely excited about the work we do and how you can contribute to our mission.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this specific role. Highlight relevant experiences and skills that align with the research areas mentioned in the job description. We love seeing how your background fits with our needs!
Be Clear and Concise:In your written application, clarity is key. Use straightforward language to explain your research experience and technical skills. We appreciate applicants who can communicate complex ideas simply and effectively.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Cohere
✨Know Your Stuff
Make sure you’re well-versed in the latest trends and techniques in machine learning and NLP. Brush up on autoregressive models like Transformers, and be ready to discuss your previous research or projects. This shows you’re not just a candidate, but someone who’s genuinely passionate about the field.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some analytical problems during the interview. Think of examples from your past experiences where you used quantitative methodologies to solve complex issues. This will demonstrate your ability to think critically and apply your knowledge practically.
✨Communicate Clearly
You’ll need to convey complex ideas succinctly, so practice explaining your research findings in simple terms. Use clear examples to illustrate your points, as strong communication skills are key in a collaborative environment like Cohere.
✨Be Ready to Collaborate
Cohere values diverse perspectives, so be prepared to discuss how you can contribute to a team. Think about how your unique background and experiences can enhance the research initiatives at Cohere, and be open to sharing ideas and feedback during the interview.