11 months ago
Responsibilities
- Develop and prototype techniques to improve model efficiency in production.
- Optimize LLM architecture and inference processes.
- Enhance decoding and inference-time algorithms.
- Collaborate on software/hardware co-design for GPU acceleration.
- Contribute to performance optimization without compromising model quality.
Requirements
- PhD in Machine Learning or a related field.
- Understanding of LLM architecture and optimization under resource constraints.
- Significant experience with techniques that enhance model efficiency.
- Strong software engineering skills.
- Ability to thrive in a fast-paced, high-ambiguity start-up environment.
- Publications at top-tier conferences (ICLR, ACL, NeurIPS) are preferred.
- Passion for mentoring others.
Benefits
- Open and inclusive culture and work environment.
- Work closely with a cutting-edge AI research team.
- Weekly lunch stipend, in-office lunches, and snacks.
- Full health and dental benefits, including mental health support.
- 100% Parental Leave top-up for up to 6 months.
- Personal enrichment benefits for arts, culture, fitness, and workspace improvement.
- Remote-flexible work options and co-working stipend.
- 6 weeks of vacation (30 working days).
Categories
AI Research
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.