Member of Technical Staff, Multilingual

Cohere, the security-first enterprise AI company, trains and deploys frontier foundation models for enterprises building AI systems. The Multilingual team is looking for world-class research scientists and research engineers to build cutting-edge multilingual AI that serves the world. Cohere cares deeply about building technologies that are broadly accessible and useful regardless of language, and as a Member of Technical Staff you'll be at the forefront of advancing the language models that make that possible, pushing the boundaries of what's possible in natural language processing and contributing to research that shapes the next generation of AI.

Responsibilities

• Lead the design and implementation of scalable solutions to improve multilingual LLM performance across a wide variety of skills; if the team needs it to make a great multilingual model, you can build it.
• Work as a self-starter who can operate independently and deliver results efficiently across data, modeling, and evaluation.
• Publish research findings and contribute to academic discourse in top-tier venues.
• Mentor junior team members and help shape global best practices in multilingual AI and NLP.
• Bring a keen eye for detail and a genuine passion for languages to everything from data quality to model behavior.

Qualifications

• PhD in Computer Science, Linguistics, or a related field, or equivalent experience.
• Proven track record in large-scale data processing and ML pipeline development.
• Expert in Python and software engineering best practice.
• Deep understanding of multilingual data challenges and NLP fundamentals.
• Strong publication record or demonstrated research potential.
• Excellent communicator able to bridge technical and research communities, with a passion for advancing language technology and making global impact.

If some of the above doesn't line up perfectly with your experience, Cohere still encourages you to apply.