,Senior Software Engineer - Machine Learning Platform

THIS Team within the client site applies expertise in machine learning, computational architectures, data visualization, and simulation to solve hard research challenges in high impact areas including cybersecurity, biological systems, and distributed sensor platforms. We've built large-scale data mining and generation pipelines, prototypes to visualize graphs with millions of nodes, and automated systems that detect malware, summarize source code, and predict protein stability.

Our team values creativity, initiative, collaboration, and diversity. We strive for a fun and collegial atmosphere that encourages intellectual crosspollination and professional growth. In short, we’re passionate about empowering our customer’s missions and enjoy working together at the leading edge of technology!

As a Senior Software Engineer, you will develop an integration and execution platform based on Docker and Mesos (or Kubernetes) for evaluating machine learning technologies. You will build this on top of both bare metal and AWS, and leverage deployment and monitoring tools to support robust instantiations. You will develop APIs and implement code in TensorFlow and PyTorch using Python (potentially including C++/CUDA) and will also support the release of twice-annual Kaggle competitions. You will work on a multidisciplinary project team that includes experts in machine learning, with clients that include DARPA and other Government Agencies.

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Reference number US_EN_2_027740_140921