Cohere

Cohere is seeking a Member of Technical Staff for their Agent Code team to research and develop cutting-edge code LLMs and agent systems for enterprises. The role involves designing and implementing training strategies, deploying agent frameworks, and leading experiments on frontier models, with a strong emphasis on both research and engineering.

Cohere is seeking an experienced ML researcher/engineer to push the frontiers of agentic LLM systems. This role involves exploring and developing agentic techniques, building models for agentic solutions, and working on strategies for training models for advanced agent capabilities like reasoning, tool use, and memory. The role also includes developing data-generation techniques for post-training (SFT and RL*), with direct impacts on Cohere's products.

Cohere is seeking a Member of Technical Staff to join their Next Generation Agents team. This role focuses on exploring and developing advanced agentic LLM systems, improving agent capabilities through research and empirical methods, and building production solutions. Responsibilities include designing novel agentic solutions, improving state-of-the-art on hard agentic tasks, researching online learning-from-experience, and collaborating with partner teams. Experience with LLMs, agentic frameworks, post-training techniques (SFT, PEFT, RL*), and synthetic data generation pipelines is required.