AI Engineer

Key Skills

Aartificial intelligence, Deep Learning, Effective communication skills, Employee life cycle, HuggingFace, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), Natural Language Toolkit - NLTK, Python Programming, spaCy

Job Description

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.

Why this role?

As an AI Engineer (a Member of Technical Staff role on our Forward Deployed team) you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models.

You’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!

In this role, you will:

- Own and build large new areas within our product.

- Work across backend, frontend, and customize Large Language Models.

- Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.

- Work across the entire product lifecycle from conceptualization through production.

This career opportunity may be a good match for you if you have:

- 3+ years of model training, deployment, and maintenance in a production environment.

- Strong skills in NLP and deep learning.

- Experience scaling products at hyper-growth startup.

- Strong written and verbal communication skills.

- Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.

Nice to have skills/experiences:

- Experience improving LLM performance for custom domains via fine tuning or RLHF.

- Experience in Information Retrieval systems for document question answering.

- Experience in day-to-day NLP for industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).

- Published research in areas of machine learning at major conferences and/or journals.

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.