Solutions Architect (NLP) Intern

Toronto, Palo Alto, San Francisco, London

Applications have closed

Cohere

Cohere provides industry-leading large language models (LLMs) and RAG capabilities, tailored to meet the needs of enterprise use cases that solve real-world problems.

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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 learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before. 
We recently raised our Series B, signed a multi-year partnership with Google Cloud, 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”, (over 23k citations) 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.
Why this role?
As a Solutions Architect Intern at Cohere, you will work closely with the sales, tech, and product teams to dive in as we work on laying the foundation for Cohere’s growth. You will have the opportunity to see how customers from different audience groups (e.g., developers, start-ups, enterprise customers) are using and applying Cohere’s technology. You will develop your technical abilities and have endless opportunities to explore your curiosity by being hands-on, integrating our API in various solutions.
Please Note: We have offices in Toronto, Palo Alto and London but embrace being remote-first! We are looking for candidates based in Canada or the United States for this role.

A typical day as an Intern at Cohere might include:

  • Brainstorming with the Business Development team how our models can be applied in a new vertical
  • Helping prepare our Account Teams for meetings with a customer company to discuss how they can leverage large language models (LLMs) to drive business results 
  • Brainstorming ways our models can outperform a customer’s in-house technology
  • Providing input to Cohere’s product team on features to prioritize
  • Developing and documenting processes to enable the solutions architect team to scale effectively within Cohere

This might be for you if you have some of the following:

  • Are currently in a relevant undergraduate degree program 
  • Experience collaborating with internal and external stakeholders
  • Some experience with NLP and a desire to learn about the applications of large language models
  • Excellent communication skills and you can appreciate the technical details while keeping the big picture in mind
  • Knowledge of Python, Web SDKs, and APIs 
  • Some experience in HTTP and JavaScript
  • Familiarity building software modules and functionality
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply to be an intern! If you consider yourself a lifelong learner, and a kind and playful team member, Cohere is the place for you to do your internship! 
We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
Our Perks: 🤝 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 and shared Canada/US/UK holidays#LI-Remote

Tags: APIs GCP Google Cloud JavaScript LLMs Machine Learning NLP Python Research

Perks/benefits: Career development Flex hours Flex vacation Health care Home office stipend Startup environment

Regions: Remote/Anywhere Europe North America
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