
Senior Software Engineer
DataVisor
Job description
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As platform engineers, we are building a next-generation AI driven decision platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms
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Our team works to improve our core detection algorithms and automate the full training process
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As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters in real-time
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The platform team is responsible for developing the architecture that makes real-time detection possible
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We continue to push the boundary of what’s possible in fraud detection and data processing at scale
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Join us to help usher in more innovative solutions to the fraud detection space
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Design and build machine learning systems that process data sets from the world’s largest consumer services
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Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters
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Build and optimize systems, tools, and validation strategies to support new features
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Help design/build distributed real-time systems and features
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Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines
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Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink)
Benefits
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Stock Options
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Commuter Passes
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Paid Time Off
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Catered Lunch and Dinner
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Team and Company Outings- We are looking for creative and eager engineers to help us expand our novel streaming and database systems, which enable our detection capabilities
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Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus
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5+ years experience in Java, Shell, Python development
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5+ years software development experience
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Experience in the Spring Framework is a plus
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Experience with test-driven development is a plus
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Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus
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Experience in CUDA development is a plus
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Experience in Kubernates
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Experience in Shell and Python
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Worked on multithreaded applications i