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Cohere

Technical Staff Member, Multilingual

Cohere

Member of Technical Staff developing cutting-edge multilingual AI technologies at Cohere. Leading research in natural language processing with a focus on multilingual data challenges.

Posted 6/2/2026full-timeRemote • 🇬🇧 United KingdomLeadWebsite

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • An open and inclusive culture and work environment
  • Work closely with a team on the cutting edge of AI research
  • Weekly lunch stipend, in-office lunches & snacks
  • Full health and dental benefits, including a separate budget to take care of your mental health
  • 100% Parental Leave top-up for up to 6 months
  • Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
  • Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
  • 6 weeks of vacation (30 working days!)

ATS Keywords

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Hard Skills & Tools
Pythonlarge-scale data processingML pipeline developmentNLP fundamentalssoftware engineering best practices
Soft Skills
self-starterindependent workefficient deliverymentoringcommunication
Certifications
PhD in Computer SciencePhD in Linguisticsequivalent experience