OnDeck delivers general-purpose vision infrastructure for enterprise. We make systems that can solve any visual task on any data, without having been seen in training data.

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 play a central role in making this happen.

OnDeck rips apart vision language models and then recombines components into a general-purpose visual reasoning system. We build this onto cloud infrastructure to serve large scale video and imagery, and deliver it through a developer-friendly API.