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.
About the job
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
Java, Python, Shell, Spark, Kafka, Flink, Hbase, Cassandra, Hadoop, Spring Framework, Kubernetes, SQL, Hibernate, Jpa2
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