Software Engineer Co-Op Internship

2 days ago

Mountain View, California, United States DataVisor Full time
Job Opportunity

DataVisor is a pioneering security company that leverages cutting-edge unsupervised machine learning to identify and prevent fraudulent activities across various industries. Our innovative solution is trusted by leading internet properties worldwide, including Pinterest, FedEx, AirAsia, Synchrony Financial, Zomato, and Ping An, to safeguard them against the escalating threat of fraud. Our award-winning software is powered by a team of world-class experts in big data, security, and scalable infrastructure. Our culture is collaborative, results-driven, and open to innovation.

Role Overview

As a platform engineer intern, you will have the opportunity to contribute to the development of a next-generation machine learning platform that integrates our proprietary UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team focuses on enhancing our core detection algorithms and automating the full training process. With the increasing complexity of fraud attacks, it is crucial to detect and prevent them in real-time. The platform team is responsible for designing the architecture that enables real-time UML. We are seeking creative and motivated engineers to help us expand our novel streaming and database systems, which support our detection capabilities.

This position is ideal for students majoring in Computer Science or Computer Engineering who want to gain hands-on experience in fraud detection and machine learning before graduation. This internship could lead to a full-time position after graduation.

Key Responsibilities

  • Design and build machine learning systems that process large datasets from leading consumer services
  • Utilize unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and prevent fraudsters
  • Develop and optimize systems, tools, and validation strategies to support new features
  • Collaborate in designing and building distributed real-time systems and features
  • Apply 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

  • BS/MS students majoring in Computer Science, Engineering, or a related field, currently enrolled in a co-op program or a post-secondary program
  • Canadian citizen, permanent resident, or person with refugee protection given under the law and legally able to work in Canada according to the laws and regulations of the province or territory where you live
  • Proven 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 with the Spring Framework is a plus
  • Experience with test-driven development is a plus
  • Strong communication and interpersonal skills

Benefits

  • Gain valuable hands-on experience
  • Work closely with experienced professionals in the field
  • Opportunity to contribute to real projects
  • Flexible schedule and hybrid work

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