Software Engineer
Posted Updated
- As platform engineers, we are building a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms
- Our team works to improve our core detection algorithms and automate the full training process
- As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters in real-time
- The platform team is responsible for developing the architecture that makes real-time UML possible
- We are looking for creative and eager engineers to help us expand our novel streaming and database systems, which enable our detection capabilities
- We continue to push the boundary of what’s possible in fraud detection and data processing at scale
- 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)
Benefits
- Stock Options
- Commuter Passes
- Paid Time Off
- Catered Lunch and Dinner
- Team and Company Outings
- 1-5 years software development experience
- Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus
- 1-5 years experience in Java, Shell, Python development
- Experience with test-driven development is a plus
- Experience in the Spring Framework is a plus
- Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus
- Experience in Shell and Python
- Worked on multithreaded applications i
- Experience in CUDA development is a plus
- Experience in Kubernates