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Improbable
Senior Software Engineer Modelling Enterprise Insights
10 months ago | 851 views | Be the first one to apply

Senior Software Engineer Modelling Enterprise Insights

Full-time
London
Per year
$110,000 To $220,000

About the company

We build interconnected user experiences in the metaverse that meaningfully extend the potential of our lives, providing new opportunities for economic, social and cultural change. These fulfilling online experiences thread through our daily lives, enriching multiplayer games, live interactive events, entertainment and social spaces. As companies and individuals around the world move to create, experiment with and participate in increasingly sophisticated immersive experiences, Improbable can be your trusted partner. Drawing on more than a decade of experience, we can provide the necessary infrastructure, technology, people, expertise and insight to help you realise your ambitions, whatever your needs.

Job Summary

Your Opportunity

šŸ“Developing and implementing algorithms which result in plausible modelling behaviour šŸ“Productionising prototype models developed by our applied scientists šŸ“Building pipelines to extract, synthesise and integrate data from various sources, making it available to simulation engines and user interfaces šŸ“Building tooling that enables model developers to do their work quicker and better šŸ“Profiling and improving the performance of models so that we can reach new levels of speed and scale šŸ“Working cross-functionally across the Enterprise Insights team to support adjacent projects where required

Why you're made for this

šŸ“A strong scientific and engineering mindset, software engineering experience, and a desire to resolve complex technical problems and systems-level requirements šŸ“Prior experience applying model and data engineering to solve customer problems šŸ“Experience with mathematical modelling paradigms (e.g. systems dynamics, event-based modelling, agent-based modelling) and associated simulation tools šŸ“Skilled in Python including the more advanced features of the language and software engineering design patterns šŸ“Professional experience with tools and libraries for modelling, data analysis and scientific computing (e.g. NumPy, Pandas, SciPy) šŸ“Naturally pragmatic, balancing fast-moving project requirements with quality and good practices šŸ“Ability to think holistically about every aspect of software development, including testing, documentation, security and performance šŸ“Track record of sharing knowledge with and learning from others, and actively mentoring colleagues to improve their skills.

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