Senior Research Scientist, Cohere Labs

About the Role

• Cohere's mission is to scale intelligence to serve humanity by training and deploying frontier models for developers and enterprises who are building AI systems for content generation, semantic search, RAG, and agents. The company emphasizes a culture of obsession over its products, with each team member contributing to increasing model capabilities and customer value, working hard and moving fast. Cohere is comprised of researchers, engineers, designers, and more, all passionate about their craft and believing in the importance of diverse perspectives for product development.
• Cohere Labs is Cohere's dedicated research arm, focused on pushing the boundaries of machine learning through frontier challenges and new discoveries. They aim to shape the future of AI by creating open research spaces that connect diverse communities and by expanding access to research training globally. As a Senior Research Scientist, you will lead an independent, high-impact research agenda on frontier AI topics, with freedom to explore ambitious questions and publish findings openly. The role prioritizes work that advances science and engages with the societal implications of machine learning. This position is for individuals who excel at both leading and learning, advancing frontier research through global collaborations, guiding new researchers, and broadening participation in ML research.

Responsibilities

• Drive an independent, high-impact research agenda on frontier topics in AI.
• Ask ambitious questions, explore the unknown, and publish findings openly.
• Advance science and engage with the societal implications of machine learning.
• Advance frontier research with global collaborations.
• Guide new researchers.
• Open doors for broader participation in ML research.

Requirements

• Have a PhD (or equivalent research experience) with a strong track record of publications in ML, AI, statistics, or related fields.
• Bring expertise or deep curiosity in areas such as: efficiency, optimization, reasoning, multimodality, agentic systems, human–AI collaboration.
• Have solid machine learning and NLP fundamentals, with experience in shaping and executing original research.
• Enjoy collaborating across disciplines and geographies.
• Care about mentoring and supporting the next generation of researchers.

Qualifications

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!