Web Developer - Embeddings
Posted on Tuesday, September 5, 2023
Who are we?
We’re a team of engineers, thinkers, and champions whose aim is to give technology language. Every day our team is breaking new ground, as we build transformational AI technology and products for enterprise and developers that wish to harness the power of Large Language Models.
We're driven by ambition, as we firmly believe that our technology has the potential to revolutionise the way industries engage with natural language. Our strong technical foundation speaks for itself, with our team composed of world-class experts who have collectively accumulated hundreds of thousands of citations in academia.
The Cohere team is a collective of college dropouts, PhDs, alumni of big tech and scrappy start-ups, new grads and career pivots, who believe a diverse team is the key to a safer, more responsible technology. At Cohere, work isn’t the opposite of play, as we build the future of language AI with team members on almost every continent in the world, working from high rises, cabins, tour buses, and dog-friendly offices.
There’s no better time to herald the next step with us as we shape the future of Generative AI.
About the Team
The Cohere Embeddings team is at the forefront of harnessing the power of text representations, also known as text embeddings. When you hear about large language models (LLM), probably the first thing that comes to mind is the text generation capability, such as writing an essay or creating a marketing copy. But another thing you can get is text representation: a set of numbers that represent what the text means, and somehow capture the semantics of the text. These numbers are called text embeddings.
The Embeddings team is on a mission to redefine how we understand and utilise text representations. We're focused on building the most robust foundation models for search, with a strong emphasis on enabling search across incredibly intricate documents and diverse data types.
About the Role
In this role, you will:
- Collaborate with the Embeddings team to design and implement robust database solutions that underpin our text representation models.
- Build powerful back-end systems with tools such as Node.js, Next.js, PHP, or FastAPI to support our search capabilities on complex data.
- Have fun and build long lasting friendships!
To excel in this role, we seek candidates with the following qualifications:
- Proven experience in database design and management.
- A passion for innovation and a deep curiosity about text embeddings and their applications.
- Effective problem-solving abilities.
- A collaborative mindset, ready to work closely with a dynamic team at the forefront of text representation technologies.
Join us in redefining how text embeddings empower search and understanding. Be part of a team that's shaping the future of text representation and complex data retrieval.
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.