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Improbable-2

Applied Scientist

Arlington, VA (Hybrid)full timeunspecifiedgovernment

Machine Learning — AI — Computational Modeling — Distributed Systems — Synthetic Environment Development — Simulation Design — Python — Data Modeling

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.   
Our applied scientists are solution focused, collaborating in diverse technical teams to design, build, deploy, and evaluate complex models and simulations that help solve a variety of real-world problems. Your work could entail anything from the creation of realistic synthetic entities and environments to modeling real world systems.