9 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 is the leading security-first enterprise AI company. We build cutting-edge foundation models and end-to-end AI products designed to solve real-world business problems. We partner closely with companies to deliver seamless integration, full customization, and easy-to-use solutions for their workforce and customers. Our all-in-one platform offers enterprises the highest levels of data security, privacy and optionality to deploy across all major cloud providers, private cloud environments, or on-premises. HQ: 171 John Street, 2nd Floor, Toronto, ON M5T 1X3