Bungie
Senior Machine Learning Data Scientist - Product Security
Bungie, Bellevue, Washington, us, 98009
Senior Machine Learning Data Scientist - Product Security
Hybrid / Bungie-Approved Remote Locations
Bungie is seeking a Senior Data Scientist to join our Machine Learning team. In this role, you will directly support Bungie’s product security initiatives, working closely with analysts and engineers to reduce the impact of bad actors in Bungie games.At Bungie, we build worlds that inspire friendships. Protecting players in a rapidly changing threat landscape requires machine learning automation, data driven discovery, and careful analysis of a dynamic online global ecosystem. You will leverage your experience in data analysis, data science, and engineering to build security services that protect Bungie players and track emerging threats. Most importantly, your work will be essential to developing unmatched entertainment experiences that inspire friendships and lifelong memories.RESPONSIBILITIESWork with partners across the organization, gathering requirements, designing project plans, determining approaches, and defining success criteria for machine learning solutions.Design, develop, deploy, and maintain machine learning services end-to-end in a cloud environment.Build integrations for machine learning models into game development pipelines.Transform raw data and build efficient pipelines to support modeling and analytical capabilities within our team.Communicate the results of your analyses to both technical and non-technical colleagues.REQUIRED SKILLSAbility to utilize cloud-based infrastructure to design, deploy, and manage models while using SQL at scale within a live service environment.Advanced knowledge of deep learning frameworks such as PyTorch and TensorflowExpertise in developing and applying advanced machine learning algorithms and statistical models, including regression, simulation, scenario analysis, clustering, decision trees, neural networks, and more.Effective collaboration and communication skills, enabling seamless teamwork across departments and disciplines.Knowledge of computer vision and natural language processing (NLP) machine learning techniquesNICE-TO-HAVE SKILLSExperience with Docker / ContainerizationExperience with Software Engineering Workflows such as CI/CD, GitHubSecurity and/or game development experience
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Hybrid / Bungie-Approved Remote Locations
Bungie is seeking a Senior Data Scientist to join our Machine Learning team. In this role, you will directly support Bungie’s product security initiatives, working closely with analysts and engineers to reduce the impact of bad actors in Bungie games.At Bungie, we build worlds that inspire friendships. Protecting players in a rapidly changing threat landscape requires machine learning automation, data driven discovery, and careful analysis of a dynamic online global ecosystem. You will leverage your experience in data analysis, data science, and engineering to build security services that protect Bungie players and track emerging threats. Most importantly, your work will be essential to developing unmatched entertainment experiences that inspire friendships and lifelong memories.RESPONSIBILITIESWork with partners across the organization, gathering requirements, designing project plans, determining approaches, and defining success criteria for machine learning solutions.Design, develop, deploy, and maintain machine learning services end-to-end in a cloud environment.Build integrations for machine learning models into game development pipelines.Transform raw data and build efficient pipelines to support modeling and analytical capabilities within our team.Communicate the results of your analyses to both technical and non-technical colleagues.REQUIRED SKILLSAbility to utilize cloud-based infrastructure to design, deploy, and manage models while using SQL at scale within a live service environment.Advanced knowledge of deep learning frameworks such as PyTorch and TensorflowExpertise in developing and applying advanced machine learning algorithms and statistical models, including regression, simulation, scenario analysis, clustering, decision trees, neural networks, and more.Effective collaboration and communication skills, enabling seamless teamwork across departments and disciplines.Knowledge of computer vision and natural language processing (NLP) machine learning techniquesNICE-TO-HAVE SKILLSExperience with Docker / ContainerizationExperience with Software Engineering Workflows such as CI/CD, GitHubSecurity and/or game development experience
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