Multilingual NLP Research Engineer (Staff)

Cohere; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Lunch stipend

Health benefits

Learning stipend

Parental Leave

Job summary

Cohere is seeking world-class researchers to advance multilingual AI and LLM capabilities. As a Member of Technical Staff on the Multilingual team, you will push NLP boundaries and contribute to groundbreaking language technology for global impact.

This role emphasizes research excellence, collaboration across disciplines, and mentoring while allowing remote or office-based work in a globally distributed company.

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.

Responsibilities

• Lead the design and implementation of scalable solutions to improve multilingual LLM performance across a wide variety of skills.
• Mentor junior team members and shape global best practices in multilingual AI / NLP.
• Publish research findings and contribute to academic discourse in top-tier venues.
• Collaborate with researchers and engineers to advance language technology for global impact.

Skills

Python

NLP

Multilingual NLP

Research leadership

Academic publishing

Education

PhD in Computer Science or Linguistics

Tools

Python

Job description

Cohere is seeking world-class researchers to advance multilingual AI and LLM capabilities. As a Member of Technical Staff on the Multilingual team, you will push NLP boundaries and contribute to groundbreaking language technology for global impact.

This role emphasizes research excellence, collaboration across disciplines, and mentoring while allowing remote or office-based work in a globally distributed company.