Improbable has created SpatialOS: a networking solution combining low latency, tools for faster iteration, and a ready-to-go architecture capable of supporting innovative games.
Now the Improbable Defence division, building on the backbone of SpatialOS, has combined world class scientific modelling, market leading AI, mission specific user interfaces and a uniquely flexible and secure deployment model to create a powerful simulation platform tailored to the needs of the military.
Our mission? To enable the most realistic and effective military simulations ever experienced, making defence users more effective on operations and decreasing the cost of military preparedness.
Your Mission...is to build scientific models that support our entire product offering and facilitate next generation decision support. We are a friendly, relaxed & inclusive team with an ambition to take agent-based modelling to the next level. Unlike many teams, we are a mix of applied scientists and software engineers working very collaboratively both internally and with our Defence customers.
We build software models of social systems as goal-oriented actors operating on imperfect information, “digitally twin” physical environments and infrastructure, and obsess with modularity to recast complex systems as combinations of simpler systems. Our applied scientists seek to balance cutting-edge research with pragmatism and creativity when designing new models. We touch on a range of interesting topics such as probabilistic programming and reinforcement learning to name just two.
While we think the above experience could be important, we’re keen to hear from people that believe they have valuable experience to bring to the role.
Equal OpportunityThe best ideas are often the least expected and require new ways of thinking; that’s why our teams at Improbable are made up of an incredible range of talented people. Improbable is proud to be an equal opportunity employer. We do not discriminate based on race, ethnicity, colour, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected status.