Who are we?
We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learns to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.
We've recently raised our Series C
, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”
, and was previously part of Google Brain. Our entire technical team is world-class.
We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
About the Team
The Cohere Modelling team is at the forefront of cutting-edge technologies, including Retrieval Augmented Generation (RAG). We are responsible for developing state-of-the-art models that seamlessly combine retrieval-based knowledge and generative text generation. Our innovations in RAG have the potential to revolutionise the way people access and interact with information.
About the Role
As a Full Stack Software Engineer on our RAG team, you will play a pivotal role in harnessing the power of Retrieval Augmented Generation. Your primary focus will be on frontend development, data engineering, and collaborating closely with our ML teams to support them implement and optimise RAG models. You'll have the unique opportunity to shape the future of information retrieval and content generation through RAG.
In this role, you will:
- Develop annotation interfaces that facilitate effective knowledge retrieval.
- Optimise data pipelines to support RAG model training and inference.
- Build essential tools that enhance the RAG workflow.
- Collaborate seamlessly with cross-functional teams, leveraging the capabilities of RAG in our projects.
- Have fun and build long lasting friendships!
To excel in this role, we seek candidates with the following qualifications:
- A degree in Computer Science or a related field.
- Proficiency in various programming languages.
- Prior experience with React.
- Exposure to Large Language Models (LLM) and Natural Language Processing (NLP).
- Strong problem-solving abilities.
- Effective communication skills.
- A collaborative and team-oriented mindset.
Join us and be part of the innovative RAG journey, where you'll contribute to reshaping how knowledge is retrieved, processed, and generated in the realm of natural language understanding and generation.
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
🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, Palo Alto, San-Francisco and London and co-working stipend
✈️ 6 weeks of vacation
Note: This post is co-authored by both Cohere humans and Cohere technology.