Senior / Staff Research Engineer, Generative AI Deployment

Customer & Solutions
· Toronto, ON
· Full-time
· Senior level The posting shares only company background and no day to day duties, so this read leans on the job title and the company line. The title points to taking generative AI models out of research and making them run reliably inside the systems that train and test autonomous trucks and robotaxis. A solid candidate would combine research depth with solid engineering habits and a record of getting large models into real use. How it fits the AI era Generative AI sits at the center of this company's approach, since its driving software learns mostly in an AI built simulator. The work here is less about inventing a model and more about making it fast, stable and trustworthy at scale. People still decide what counts as safe, judge whether simulated worlds match the road, and own the tradeoffs when a model is not good enough.



How it builds AI experience Someone in this role would likely gain hands on experience running generative models that create driving scenarios, and seeing them used in a safety focused product. To build toward it, practice deploying large models, speeding up how they run, and checking their output against clear measures of quality. A project that turns a research model into a dependable service would be a good proof point. Worth showing Deploying large generative models Speeding up model inference Shipping research into production Judging simulation realism This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role. About Waabi A Toronto company training self-driving trucks and robotaxis mostly inside its own AI-generated simulator, rather than by racking up millions of real road miles.

📌 Senior / Staff Research Engineer, Generative AI Deployment (Toronto)
🏢 present of AI
📍 Toronto