Member of Technical Staff - RL Environments

About the role

Cohere is looking for a Member of Technical Staff to join their team focused on RL environments. You will be responsible for creating reinforcement learning environments, running AI agents within them, and systematically improving both the agents and the environments to solve complex enterprise problems. This role involves working across modeling and product teams to identify performance gaps and ensure high-quality task and data implementation.

Responsibilities

• Build new RL environments targeting different agentic capabilities and industry areas
• Train and evaluate agents in those environments
• Make all the pieces work together: tasks, data, tool implementations, and verifiers
• Work across modeling and product to identify gaps in agent performance, and improve both the agents and the environments
• Work with external vendors to create high-quality, expert-built RL environments, and build tools to ensure high task, data, and verifier quality
• Automate the discovery of model capability gaps, and systematically measure agent performance during evals and training

Required skills

• Modeling
• Reinforcement Learning
• Agentic workflows
• Data pipelines
• Evaluation frameworks

Nice to have

• RL training
• Scaling
• Troubleshooting
• Tuning environments

Benefits

• Weekly lunch stipend
• Health and dental benefits
• Mental health budget
• Retirement savings matching
• Parental leave top-up
• Annual enrichment benefits
• Education and learning stipend
• 6 weeks paid vacation
• Travel budget
• Home office stipend

About the Company

Cohere is a security-first enterprise AI company that builds cutting-edge foundation AI models and end-to-end products designed to solve real-world business problems. Headquartered in Toronto, the company operates globally with offices in London, New York City, San Francisco, Montreal, Paris, Berlin, and Seoul.