Applied Scientist at Improbable-2

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 alongside experts in AI, Machine Learning, computational modeling, and distributed systems, you will put multiplayer gaming technology to life-saving use. Our mission is 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 are motivated by the fulfillment of solving hard problems to achieve something profound and transformative.

Key outcomes

• Bring together best-in-class models to build and iterate on the most appropriate application of Modeling & Simulation.
• Iteratively design and prototype models of real-world systems that enable our customers to interrogate the past, understand the present, and predict the future.
• Collaborate with engineers to implement high-performance models in production environments.
• Work closely with Improbable's product team to enhance our foundational technology platform.
• Critically assess the type and quality of customer or open-source data and define modeling assumptions while capturing uncertainty.
• Take ownership of ensuring and demonstrating the reliability of the models that we create.
• Work closely with our technology customers to understand their problems and develop use cases for Improbable technology.
• Drive thought leadership within the company and help our clients understand their needs and design their model and simulation strategies.
• Keep up to date with a diverse body of cutting-edge research, design and prototype new technical approaches, and rapidly develop expertise in new subject areas to support new bids and projects.

Requirements

• Strong background and experience in delivery of technical, data-rich projects, ideally for external clients.
• Degree in a scientific, engineering, or mathematical field, ideally with a computational element.
• Demonstrated knowledge in statistical modeling and analysis.
• Demonstrated experience with agent-based modeling, micro-simulation, computational social science, or modeling socio-technical systems.
• Experience using game engines such as Unity and Unreal.
• Pragmatic coding ability with fluency in at least one relevant programming language and the openness to learn and adapt to a variety of languages. We use Python, R, Java, C, C++, and many related tools and libraries.
• Ability to break down problem requirements, select effective analytical methods, and develop defensible solutions.
• Experience with probabilistic programming.
• Experience working with real, complex data, including geospatial data.
• Ability to communicate effectively with clients in person, in writing, and through visualization.
• Proficiency in English.

Compensation

We offer a hybrid work arrangement.

How to apply

If you identify with the team and mission, we encourage you to apply even if you do not meet every requirement listed. Please submit your application through our careers portal.