AI Manager (Language Models)
- Canada
- Mid Level
- Posted
Join our Language & Audio group as an AI Manager (Language Models). You will lead the machine learning engineering of our Large Language Models and their applications in public safety and enterprise settings. Your work will impact all aspects of the machine learning cycle, from data curation to model training to deployment and monitoring. You will collaborate with infrastructure engineers and research scientists to build scalable machine learning products and create reusable components for integration between research teams and production engineering.
Lead the development and deployment of Large Language Model (LLM) machine learning solutions, overseeing all stages of the machine learning lifecycle.
Responsibilities
- Collaborate with infrastructure engineers and research scientists to build scalable machine learning products, creating reusable components to support integration between research teams and production engineering.
- Apply your knowledge to public safety application areas such as 911 call handling, dispatch, and case management, and enterprise applications in retail, commercial security, and infrastructure management.
Requirements
- Including 2+ years of direct management experience leading technical teams
- AND 2+ years of direct management experience
Previous experience managing cloud-based software engineering
- Bachelors degree with 8+ years of machine learning experience
- 8+ years of combined experience as a machine learning researcher and/or a post-graduate degree in a quantitative science or engineering
Strong written and oral communication skills in English
- Experience incorporating UX guidance in LLM-driven design patterns, test patterns and training methodologies
- Experience managing engineers and researchers, and working horizontally with UI/UX and product management
Preferred
- Previous experience managing an LLM-based solution from inception to market
- Knowledgeable of Machine Learning fundamentals and best practices
- Experience developing software for public safety (police, fire, paramedic and other first responders) or enterprise (retail, farming, heavy industry)
