Operations
On-site · Toronto
The Operations lead works closely with the founders to accelerate company growth and efficiency. They are responsible for building scalable systems that turn successful initiatives into repeatable machines.
On-site · Toronto
The Operations lead works closely with the founders to accelerate company growth and efficiency. They are responsible for building scalable systems that turn successful initiatives into repeatable machines.
On-site · Toronto
The Research Engineer focuses on making AI models significantly faster, cheaper, and more efficient. They are responsible for inventing new optimization tricks, writing research papers, and building systems to prove their effectiveness.
On-site · Toronto
The Designer will create core creation flows and implement them directly in code. They will use data to iterate on features, removing what fails and scaling what works.
On-site · Toronto
Manage a GPU fleet serving millions of images and implement new AI models, papers, or codebases rapidly. Optimize model speed, cost, and features while staying current with AI research.
On-site · Toronto
Build and launch full consumer features including the app, backend, and analytics. Transform new AI models into simple and engaging user experiences.