Who are we?
Cohere is focused on building and deploying large language model (LLM) AI into enterprises in a safe and responsible way that drives human productivity, and creates magical new ways to interact with technology and real business value. We’re a team of highly motivated and experienced engineers, innovators, and disruptors looking to change the face of technology.
Our goals are ambitious, but also concrete and practical. Cohere wants to fundamentally change how businesses operate, making everyone more productive and able to focus on doing better what they do best. Every day, our team breaks new ground, as we build transformational AI technology and products for enterprise and developers to harness the power of LLMs.
Cohere was founded by three global leaders in AI development, including our CEO, Aidan Gomez, who co-created the Transformer, which makes LLMs possible. Collectively, we’re driven by the belief that our technology has the potential to revolutionize the way enterprises, their employees, and customers engage with technology through language.
Cohere’s broader research team is world-renowned, having contributed to the development of sentence transformers for semantic search, dynamic adversarial data collection and red teaming, and retrieval augmented generation, often referred to as “RAG,” among other technological breakthroughs.
We have been deliberate in assembling a team of operational leaders with industry-leading experience, with backgrounds working at the most sophisticated, demanding, and respected enterprises in the world. Cohere’s operational leaders have built, scaled, and led multi-billion product lines and businesses at Google, Apple, Rakuten, YouTube, AWS, and Cisco.
The Cohere team is a collective from all walks of life, from people who left college to start businesses, to some of the most experienced people from globally renowned companies. We believe a diverse team is the key to a safer, more responsible technology, and that different experiences and backgrounds enable us to tackle problems from all angles and avoid blindspots.
There’s no better time to play a role in defining the future of AI, and its impact on the world.
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 productionWe 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. We have offices in London, Toronto, Palo Alto, and San Francisco, but we embrace being remote-first! There are no restrictions on where you can be located for this role.
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 associate areas such as evaluation, multimodal models, optimisation etc.
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.
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! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
🤝 An open and inclusive culture and work environment
🧑💻 Work closely with a team on the cutting edge of AI research
🍽 Free daily lunch
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being
🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
✈️ Paid vacation
Originally posted on Himalayas