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DataVisor

Software Engineer

Builds scalable machine learning systems for real-time fraud detection using unsupervised/supervised ML, big data tools like Spark and Kafka, and streaming technologies. Requires 1-5 years experience in Java, Python, Shell, and big data technologies.

Mountain View, CAML EngineeringOnsite1+ YOE
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About the role

What you'll do

  • Design and build machine learning systems that process data sets from the world’s largest consumer services
  • Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters
  • Build and optimize systems, tools, and validation strategies to support new features
  • Help design/build distributed real-time systems and features
  • Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines
  • Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink)

Requirements

  • 1-5 years software development experience
  • 1-5 years experience in Java, Shell, Python development
  • Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus
  • Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus
  • Experience in the Spring Framework is a plus
  • Experience with test-driven development is a plus

Preferred Qualifications

  • Worked on multithreaded applications
  • Experience in Shell and Python
  • Experience in Kubernetes
  • Experience in CUDA development is a plus

Benefits

  • Health Insurance, 401K, PTO

Skills

JavaPythonShellSparkKafkaFlinkHbaseCassandraHadoopSpring FrameworkKubernetesSQLHibernateJpa2

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