OnDeck AI
Analyze any footage, without training a model
What OnDeck AI does
OnDeck is the infrastructure layer that makes Vision Language Models accessible and scalable for enterprise. We let organizations instantly find any object, behavior or event, in any footage, without needing to train a model or collect any training data. The Pain: Creating vision models usually takes months: collecting training data, training, then deployment. Worse yet: + it’s often impossible to get enough data for a specific task, and + even the best cv models struggle to generalize across diverse camera setups, workflows and environments. To overcome these blockers, we bet early on the power of VLMs and built a vision engine that can generalize across any task and doesn’t need any training data. We published a NeurIPS workshop paper showing our new methods with VLMs beat traditional CV even at niche tasks. Our current customers include: - National Defense Organizations - Robotics Research - Security cameras - Behaviour analysis for port monitoring - Off-shore oil & gas monitoring
2 open roles
What the role involves
We’re looking for a generalist Machine Learning Engineer who loves to build, has strong ML and engineering fundamentals, and has excellent empirical intuition. You should have built something in the past that did not exist before, ideally doing novel (applied) research. We also strongly value experience building machine learning systems and working in early-stage startups. This will be full time, in person in our Vancouver office. Expect an environment that is fast, highly technical and uncompromising. Ideas move quickly, and we will challenge you to not just keep pace, but set it. You will have the option to move to SF too once we establish there. Our teams are kept small and agile to limit layers of unnecessary process. Autonomy is expected and in exchange, resources are ready available to support your work. We are building systems that solve any visual tasks across any domain. You will be core to bringing this to life. Backed by Y Combinator, our clients span robotics, conservation and national defence agencies.
What the role involves
We’re looking for an engineering generalist who loves to build and has excellent product intuition. You should have built something in the past and had users using it. This will be full time, in person in our Vancouver office. We work flexible hours, roughly 10-hour days Monday to Friday with regular Saturdays or weekends. You will have the option to move to SF too once we establish there. Backed by Y Combinator, our clients span robotics, conservation and national defence agencies. We are pioneering frontiers that have never been possible before, while building something people use at a huge scale. We’re aiming to solve vision, apply if this excites you.
Roles are as last read from the company’s own listings. Openings close without notice — check the date on the listing before you spend an evening on the application.
Check the company’s own careers page — linked at the top — before a job board. A role appears there first, sometimes weeks before it is syndicated anywhere else.
Questions and experiences
Nobody has asked anything about OnDeck AI yet. If you have interviewed here, what you know is worth more to the next person than anything on the rest of this page.
Company facts compiled from public sources and last refreshed 9 September 2026. Details change; treat the company’s own site as the authority.