Cohere

Research internship focused on combining self-distillation and reinforcement learning for LLMs, with applications to code generation and agentic tasks. Investigates mechanisms for handling extremely large rollouts in RLVR to advance state-of-the-art in LLM training.

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.

Cohere is seeking Research Interns to collaborate on designing and implementing novel research ideas and shipping state-of-the-art models to production. Interns will conduct cutting-edge machine learning research, build and train large language models, and focus on expanding the frontier of knowledge in language modeling and related areas. Research results will be disseminated through publications, datasets, and code, contributing to practical applications in Cohere's product development.

Manager of Technical Staff for Sovereign AI at Cohere, focusing on training and deploying frontier LLMs. The role involves leading a team of scientists and engineers, staying current with LLM research, and developing scalable strategies for training models. Requires a PhD, publication record, team management experience, and strong software engineering skills.

Cohere is seeking Research Interns to collaborate on designing and implementing novel research ideas and shipping state-of-the-art models to production. Interns will conduct cutting-edge ML research, build and train LLMs, focus on expanding the frontier of knowledge in language modeling and related areas, and disseminate research results through publications, datasets, and code. The role involves contributing to research initiatives with practical applications in product development.

Cohere Labs is seeking Research Engineers to build experiments, debug models, scale training pipelines, and turn research ideas into working systems. This role involves implementing new methods, running large-scale experiments, and shaping research infrastructure, with a focus on deep learning frameworks, model optimization, and collaboration with scientists.

Cohere is seeking a Senior Research Scientist focused on Model Evaluation to create next-generation evaluation methods and infrastructure for LLMs. This role involves developing new benchmarks, advancing state-of-the-art evaluation techniques, and building scalable tools to measure LLM progress and capabilities.

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.

This role focuses on developing and implementing next-generation evaluation methods and scalable infrastructure for measuring LLM progress. The Senior Research Engineer will create evaluation benchmarks, datasets, and environments, conduct research to advance LLM evaluation techniques, and build tools for analyzing evaluation results. The role requires a strong background in LLM evaluation, research, and software engineering.

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.

Cohere is seeking a Member of Technical Staff for their Search team to develop and improve state-of-the-art models for information retrieval, focusing on training embedding and reranker models. The role involves gathering and optimizing retrieval datasets, collaborating with serving and product teams, and engaging in research collaborations with a focus on publishing work.

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.