Job Description

Location


London, San Francisco, Ottawa, Toronto, Paris, New York
Employment Type


Full time
Location Type


Remote
Department


Modelling
Modeling

Who are we?

Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.


We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers.


Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.


Join us on our mission and shape the future!

Why this role?

Agentic LLM systems are being deployed widely across enterprise companies including through Cohere's North platform. The Next Generation Agents team is exploring the horizon of modeling techniques to improve agent capabilities (e.g., deep-research, learning-from-experience, continual learning, and memory). We work in an empirical-research-driven manner to develop production solutions. Much of the work is based on improving beyond the current state-of-the-art in a setting where we know this will bring value to our customers.


As a part of this team, you will help drive exploration and development of agentic techniques. You will have the opportunity to build the models that power our agentic solutions. This includes developing data-generation techniques for post-training (SFT and RL*) Cohere's models.

Please Note: We have offices in London, Toronto, San Francisco, and New York, but we also embrace being remote-friendly! There are no restrictions on where you can be located for this role.

As a Member of Technical Staff for Next Generation Agents you will:

Design and develop novel agentic solutions Improve upon SOTA on hard agentic tasks Research the next-generation of on-line learning-from-experience self-improvement Work with partner teams (Reasoning, Post-training, Pre-training, etc.) to improve performance of agentic system Work with an amazing team of researchers and engineers pushing the boundaries

You may be a good fit if you have:

Strong software engineering skills Proficiency in Python and have some experience with ML-related code (e.g., pytorch, numpy, etc.) Experience with LLMs and agentic frameworks Experience with post-training LLMs (SFT, PEFT, or RL)
Experience with building synthetic data generation pipelines

If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.


We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

Full-Time Employees at Cohere enjoy these Perks:

An open and inclusive culture and work environment


? Work closely with a team on the cutting edge of AI research


Weekly lunch stipend, in-office lunches & snacks


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, New York, 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.