Member of Technical Staff, Multilingual

Who are we?

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.

We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.

We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!

Role Overview:

We are looking for world-class research scientists and research engineers to build cutting-edge multilingual AI to serve the world!

At Cohere, we care deeply about building technologies that are broadly accessible and useful, regardless of language. As a Member of Technical Staff on the Multilingual team, you'll be at the forefront of advancing language models that serve the world. You’ll push the boundaries of what's possible in natural language processing. This isn't just a technical role—it's an opportunity to contribute to groundbreaking research that will define the next generation of AI.

Key Responsibilities:

Lead the design and implementation of scalable solutions to improve multilingual LLM performance across a wide variety of skills – if we need it to make a great multilingual model, you can build it!

Is perfect for someone passionate about languages and AI, with a keen eye for detail and strong technical skills.

Offers the opportunity to contribute to cutting-edge language technology, making a global impact.

Requires a self-starter who can work independently and deliver results efficiently.

Publish research findings and contribute to academic discourse in top-tier venues

Mentor junior team members and shape global best practices in multilingual AI / NLP

Qualifications:

PhD in Computer Science, Linguistics, or 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

Passion for advancing language technology and making global impact

Strong publication record or demonstrated research potential

Excellent communicator able to bridge technical and research communities

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