11 months ago
Toronto, CanadaSenior
Responsibilities
- Design, build, and scale agentic AI systems for mission-critical use cases.
- Research, implement, and experiment with ideas on supercomputing and data infrastructure.
- Work with leading researchers in the field.
- Execute across the full AI stack and ship products serving the public interest.
- Contribute to both production code and research according to individual interests and organizational needs.
Requirements
- Canadian citizenship and eligibility for security clearance are required.
- Extremely strong software engineering skills.
- Proficiency in Python and related machine-learning frameworks.
- Experience training, evaluating, and using LLMs as an end user.
- Experience with large-scale distributed GPU LLM training strategies.
- A paper at a top-tier venue such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, or EMNLP is a bonus.
Benefits
- Open and inclusive culture and work environment
- Work closely with a team on cutting-edge AI research
- Weekly lunch stipend, in-office lunches, and snacks
- Full health and dental benefits, including a separate mental-health budget
- 100% parental-leave top-up for up to 6 months
- Personal enrichment benefits for arts and culture, fitness and well-being, quality time, and workspace improvement
- Remote-flexible work with offices in Toronto, New York, San Francisco, London, and Paris, plus a coworking stipend
- Six weeks of vacation, equivalent to 30 working days
Tech Stack
Categories
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.