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Building the future of multiplayer

Senior Research Scientist, Defence

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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.

We are a team of experienced researchers and software engineers interested in removing computational and information bottlenecks in the design, validation and execution of models of complex systems, typically aimed at counterfactual analysis and simulation.

We aim to combine statistical and machine learning techniques with cutting edge games technology to enable a step change in the application of large scale simulation to decision making in complex, uncertain scenarios. We are also interested in behavioural modelling and reinforcement learning strategies for multiple autonomous agents operating within these synthetic environments. This puts our work at a crossroads between agent-based modelling, generative social science and complex systems.

We collaborate with some of the leading academic research groups in the UK. We take inspiration from the success of general-purpose tuning algorithms and resulting frameworks for deep learning (e.g., Tensorflow, Pytorch) and Bayesian inference (e.g., Stan or Pyro), and aspire to build analogous tools for modelling complex agent systems. Currently, we are focused on improving simulation accuracy with statistical calibration, increasing simulation scale with GPU acceleration, and on pushing simulation fidelity with RL based agents to better match human behaviour.

Areas for Impact

  • Design, implement and evaluate new methodologies and algorithms for agent-based modelling, simulation based inference and generative social science.
  • Lead and supervise internal research activities. This involves identifying opportunities for high impact research, maintaining awareness of relevant literature, contributing to internal research efforts and publications.
  • Communicate research advances internally and externally (e.g. in academic/industry conferences)Drive the strategic vision for the Research team.
  • Set goals, mentor other Research Scientists and attract new talent to fulfill that vision.
  • Work with our product team to decompose vision into tractable problems, deriving quantitative frameworks from abstract or ambiguous ideas.
  • Develop a deep understanding of the Defence and National Security space, to translate high level customer requirements into well-defined research questions.

  • More information can be found in the briefing pack here

We'd love to hear from you if you identify with any of the following:

  • PhD in a technical field or equivalent practical experience
  • 7+ years in research in an academic or industry setting
  • A track record of high profile research as evidenced by publications, patents and/or conference talks
  • Pragmatic ability in a high level language like Python, Julia, R, etc.
  • Experience with a low level language like C, C++, Fortran, etc.

Preferred qualifications- PhD in statistics, machine learning, computer science or a simulation-related field

  • Experience providing technical direction and supervision to teams of researchers
  • A track record of delivering software projects
  • Experience with deep learning and/or probabilistic programming libraries in Python, e.g. Pytorch, Pyro
  • Experience with agent-based models or microsimulations in any domain
  • Experience working in the government space
  • An interest in games technology

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!!

Equal Opportunity
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.

Job type
Visa sponsorship
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Hiring contact

Sean Fanning

Avatar for Sean Fanning

Improbable at a glance

Building the future of multiplayer

Improbable focuses on Information Technology, Video Games, Defense, Software, and Gamification. Their company has offices in Seattle, Washington DC, London, and Edmonton. They have a large team that's between 501-1000 employees. To date, Improbable has raised $520M of funding; their latest round was closed on January 2018.

You can view their website at http://www.improbable.io or find them on Twitter and LinkedIn.

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