Who are we?Cohere is the leading security-first enterprise AI company.
We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems.
We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
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.
Cohere is a team of researchers, engineers, designers, and more, who are all passionate.
Join us!Role Overview:Building AI agents that can assist with any kind of enterprise work is a challenging, open-ended problem.
One key piece of solving it is replicating real work environments as realistically as possible - filling them with hard tasks to solve, creating plausible input data, and defining clear rewards for completing the work the right way.
We build many of these reinforcement learning (RL) environments, then drop our agents into them to evaluate or train them.
In this role, you are responsible for creating these RL environments, running AI agents inside them, and improving both the agents and the environments in the process.
The results reach customers, whose feedback feeds back in - and the agent/environment improvement loop continues.
As a Member of Technical Staff, RL Environments, you will:Build new RL environments targeting different agentic capabilities and industry areasTrain and evaluate agents in those environmentsMake all the pieces work together: tasks, data, tool implementations, and verifiersWork across modeling and product to identify gaps in a.