Name: CVJet
Price: 9.00 USD

Job description

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)

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