Analyze Free

Improbable-2

Model Engineer

Arlington, VA (Hybrid)full timeunspecifiedgovernment

Computational Modeling — Machine Learning — Distributed Systems — Scientific Computing — Simulation Software — Python — Systems Design — Performance Optimization

Join Improbable U.S. Defense & National Security and you will help users leverage our synthetic environment development platform to plan and train for the most complex security threats in the world. Working along experts in AI, Machine Learning, computational modeling, and distributed systems, you will put multiplayer gaming technology to life-saving use.      Our mission? To enable the most realistic and effective virtual worlds ever experienced. Our team in Arlington, VA, and across several other locations in the US, is focused on applying our technology to solve real-world Defense and National Security problems.      At Improbable, you will be surrounded by people who want to improve everything and everyone around them, and who compel you to improve yourself. We’re motivated by the fulfillment of solving hard problems to achieve something profound and transformative.   
Your mission is to build robust, performant, scalable scientific models that support our entire product offering and facilitate next generation decision support. We are a diverse team of engineers and applied scientists working very collaboratively, internally and with our customers.  We are friendly and inclusive; driven to take synthetic environments to the next level. 
We focus on modularity and reusability to create complex systems from combinations of simpler systems, such as modeling social systems as goal oriented actors in a synthetic environment with imperfect information. Our model engineers take cutting-edge domain specific research and combine it with best practices, pragmatism, and creativity to run our complex realistic simulations as fast as possible; solving our customers’ problems and supporting their decision-making processes.