We’re hiring!
As we close our seed round, we’re looking for our 2nd and 3rd employees: a machine learning engineer to work on our core engagement prediction technology, and a back-end/infrastructure engineer to build the back-end architecture to power it. These are two technically challenging roles at a Stanford startup that is transforming the way AI is used in marketing. If you know a rockstar in either of these areas, please connect us at apoorva@viralspace.ai.
Our AI/ML Engineer will work with our CTO to bring the frontier of computer vision research into the enterprise. From using new scene graph technology to building computer vision models, to developing our explainable engagement prediction engine, we need someone who is excited to lead projects that will directly impact our unicorn and Fortune 500 clients. They’ll be working directly with the co-founders and technical advisory board to drive impact for our clients and will have the opportunity to help lead the creation of Viralspace’s core technology.
Our Back-End/Infrastructure Engineer will be responsible for architecting and building our backend architecture that can efficiently gather, process, and serve data for our AI-based software platform. They’ll be working with rich client data, including decades of marketing insights from the top brands in the world. As our lead back-end engineer, they will have the opportunity to shape the architecture of a quickly-growing company and grow into a VP of Engineering role in the future. They’ll also be working directly with our co-founders and technical advisory board and will have the opportunity to get involved in multiple areas of the technical stack.
We’re a team that cares deeply about transparency and fairness, constant learning and growth, and open communication. To learn more about our culture, read our careers page. Or, skip straight to the applications: AI/ML and Backend.
