2 months ago
Responsibilities
- Design and implement scalable solutions to improve multilingual LLM performance.
- Develop large-scale data-processing systems and ML pipelines.
- Advance multilingual language technology and NLP capabilities.
- Publish research findings and contribute to academic discourse in top-tier venues.
- Mentor junior team members and shape global best practices in multilingual AI and NLP.
- Work independently, communicate across technical and research communities, and deliver results efficiently.
Requirements
- PhD in Computer Science, Linguistics, or a related field, or equivalent experience.
- Proven track record in large-scale data processing and ML pipeline development.
- Expertise in Python and software engineering best practices.
- Deep understanding of multilingual data challenges and NLP fundamentals.
- Strong publication record or demonstrated research potential.
- Passion for advancing language technology and the ability to communicate across technical and research communities.
Benefits
- Remote-friendly work arrangement with no minimum in-office requirement, or access to offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin, and Seoul.
- Weekly lunch stipend of $75, £75, or equivalent local currency.
- Full health and dental benefits with a separate mental-health budget.
- RRSP matching, 401K, and pension scheme options.
- 100% parental-leave top-up for up to six months for either parent.
- Annual enrichment benefits covering arts and culture, fitness and wellness, quality time, workspace improvements, education, conferences, courses, and coaching.
- Six weeks of paid vacation, or 30 working days.
- Remote-worker travel budget for visiting other offices and an annual company offsite.
- Daily lunch program, snacks, community events, coworking benefit, and a $500 home-office stipend.
Tech Stack
Categories
AI ResearchML Engineering
About Cohere
Cohere builds large language models and an enterprise AI platform that companies use for search, summarization, and workflow automation, delivered via API or private deployments. Founded in 2019 and headquartered in Toronto, it focuses on multilingual models, data controls, and options to run across major clouds or on-premises. The business is privately held and serves security- and compliance-sensitive organizations.