Job Description
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We are seeking a highly skilled Machine Learning Engineer to join our team and help us develop innovative solutions for fraud detection.
The ideal candidate will have experience in designing and building machine learning systems that process large data sets, as well as knowledge of unsupervised and supervised machine learning algorithms.
Our team works to improve core detection algorithms and automate the full training process. We are looking for creative and eager engineers to help us expand our novel streaming and database systems, which enable our detection capabilities.
The platform team is responsible for developing the architecture that makes real-time detection possible. As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters in real-time.
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Requirements
1. 0-3 years software development experience
2. 2 years experience in Java, Shell, Python development
3. Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus
4. Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus
5. Experience in the Spring Framework is a plus
6. Experience with test-driven development is a plus
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Benefits
We offer a flexible schedule with competitive pay, PTO and health benefits.
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What We Offer
Join us to help usher in more innovative solutions to the fraud detection space. Come be a part of a collaborative and results-driven team that is pushing the boundary of what's possible in fraud detection and data processing at scale.