Job Description

Job Description

Job Description

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. 

• Contributing improvements to practices and processes of a high performing team. 

• Maturing prototype models so that they are scalable, robust and performant. 
• Developing and implementing algorithms which result in plausible modeled behavior.
• Building pipelines to extract, synthesize and integrate data from various sources, making it available to simulation engines and user interfaces. 
• Building tooling that enables model developers to do their work quicker and better. 
• Measuring, tracking, and improving performance of models so that we can reach new levels of speed and scale. 

• Taking ownership of verifying the reliability of the models that we create. 
• Working closely with our customers to understand their problems and develop use cases for Improbable technology. 

• You have 3+ years professional experience (or an advanced degree) in model and simulation development. 

• Proficient 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, Java, C++, C#, and many related tools and libraries. 
• You are familiar with the more advanced features of software design (e.g. decorators, generators, objects/classes, system and API design) and data science/simulation techniques and libraries (e.g. agent based modeling, algorithm complexity, data frames, graph theory, machine learning).
• You are proactive and autonomous, able to identify the most impactful work among competing requirements. 

• You have a strong sense of intellectual curiosity; ready to hone your craft and inspire others to be better engineers. 

• You enjoy pair programming, collaboration, and are passionate about sharing knowledge with and learning from others. 

• You are naturally pragmatic, balancing fast-moving project requirements with quality and good practices. 

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. If you identify with the team and mission, but not all of our requirements, then please still apply!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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