Improbable Defence, 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 war fighter.
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.
is to build innovative, product-oriented solutions leveraging and contributing to our R&D effort around probabilistic techniques. We are growing our applied science capability to enable our federal customers to better understand their most challenging problems. Our applied scientists are delivery focused, working in diverse technical teams to design, build, deploy and evaluate models and simulations. You will work with customers to deliver new solutions to some of the most important challenges we face today.
We’ve already built a team of 15 highly experienced engineers, and scientists; now we’re moving onto the next chapter of our growth. We offer competitive salaries, full benefits, training, progression, equity and a chance to be a "founder" of a strategically important new office.
Overview of our products here
You can read about the engineering culture of the division here.
Additionally you will drive thought leadership within the company and help our clients to understand their data needs and design their data strategies. This involves keeping up-to-date with a diverse body of cutting-edge research, designing and prototyping pioneering new technical approaches and rapidly developing expertise in new subject areas to support new bids and projects.
The 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.