Cohere
ScalingAI Frontier · Enterprise LLMs
Currently tracking 60 active AI roles, up 80% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Hiring
60 / 60
Momentum (4w)
↑+16 +80%
36 opens last 4w · 20 prior 4w
Salary range
—
Tracked since
Oct '24
last role today
Hiring velocityscroll left for older weeks
Jobs (4)
| Title | Stage | AI score |
|---|---|---|
| Senior Research Scientist, Cohere Labs Senior Research Scientist at Cohere Labs focused on driving an independent, high-impact research agenda on frontier topics in AI, with a focus on publishing findings openly and engaging with societal implications. The role involves exploring ambitious questions, advancing frontier research, and guiding new researchers. | Pretrain | 10 |
| Member of Technical Staff, Agent Code 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. | AgentPost-train | 9 |
| Member of Technical Staff, Next Generation Agents 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. | AgentPost-train | 9 |
| Member of Technical Staff, Modeling Cohere is seeking a Member of Technical Staff, Modeling to design, build, and scale AI systems for serving users. This role involves researching, implementing, and experimenting with ideas on supercompute and data infrastructure, with a strong emphasis on both research and production code. The position requires strong software engineering skills, proficiency in Python and ML frameworks, experience with large-scale distributed training, and GPU programming. | ServePretrain | 9 |