Member of Technical Staff, Toronto

What you will do

• Collaborate with product managers and engineers to turn product ideas into robust, scalable systems — spanning backend services, data pipelines, and ML/LLM integrations.
• Design, build, and maintain full-stack components — from APIs and microservices to model-serving and data infrastructure.
• Work on AI-powered features , connecting ML/LLM models with production environments and optimizing inference performance.
• Develop and maintain data pipelines that support both real-time and offline workloads.
• Partner with ML and infrastructure teams to ensure models and systems are scalable, reliable, and observable .
• Improve developer productivity through automation, tooling, and better engineering workflows.
• Stay curious and contribute to both the software and ML layers of our stack, driving innovation across the boundary between backend systems and AI.

What we lo...