Staff Software Engineer at Coinbase defining architecture for fund flow correctness. Leading AI initiatives and cross - functional collaborations with financial services.
About the role
- Senior Software Engineer developing machine learning systems to detect fraud for leading AI-powered platform. Collaborating to optimize real-time detection algorithms and build scalable solutions.
Responsibilities
- 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
- 5+ years software development experience
- 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 i
- Experience in Shell and Python
- Experience in Kubernates
- Experience in CUDA development is a plus
Benefits
- Health Insurance
- 401K
- PTO.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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