Platform Software Engineer Intern
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Job Description
About Lensa
Lensa is a career site that assists job seekers in finding jobs within the US. It is not a staffing firm or agency and does not directly hire for the jobs it promotes. Instead, Lensa promotes job listings on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. For this specific job, Lensa partners with DirectEmployers to promote the position for DataVisor. When users click “Apply Now” or “Read more” on Lensa, they are redirected to the external job board or employer site, where any collected information is subject to that site’s terms and privacy notice.
About DataVisor
DataVisor is recognized as the world’s leading AI-powered Fraud and Risk Platform. It provides comprehensive detection coverage and operates as an open SaaS platform, enabling easy consolidation and enrichment of various data types. The platform is designed for infinite scalability, allowing organizations to respond to evolving fraud and money laundering activities in real time.
Key features and technologies employed by DataVisor include:
• Patented unsupervised machine learning (UML) technology.
• Advanced device intelligence.
• A powerful decision engine.
• Robust investigation tools.
These components work in synergy to guarantee performance improvement from the outset. DataVisor’s platform architecture supports multiple use cases across different business units flexibly, significantly reducing the total cost of ownership compared to traditional point solutions. The company is an industry leader, with its solutions adopted by many Fortune 500 companies globally.
DataVisor’s award-winning software platform is developed by a team of experts in big data, machine learning, security, and scalable infrastructure. The company fosters an open, positive, collaborative, and results-driven culture.
Job Description: Platform Software Engineer Intern
The Platform Software Engineer Intern role offers practical experience in building a next-generation machine learning platform that integrates proprietary unsupervised machine learning (UML) with various supervised machine learning (SML) algorithms. The Platform Team’s primary focus is to enhance core detection algorithms and automate the training process to combat sophisticated fraud attacks effectively.
The Platform Team is specifically responsible for developing the architecture that facilitates real-time UML, which is a crucial element in DataVisor’s fraud detection capabilities. The team seeks individuals who are curious, creative, and eager to learn to contribute to the expansion of their advanced streaming and database systems that power detection.
This internship is designed for computer science students nearing graduation or recent graduates with an interest in fraud detection and machine learning. It has the potential to transition into a full-time role after the three-month internship period.
What You’ll Do With The Team:
• Design and build machine learning systems that process large datasets from major consumer services globally.
• Apply unsupervised machine learning, supervised machine learning, and deep learning techniques to identify fraudulent behavior and catch fraudsters.
• Build and optimize systems, tools, and validation strategies to support new features.
• Contribute to the design and building of distributed real-time systems and features.
• Utilize big data technologies such as Spark, Hadoop, HBase, and Cassandra to construct large-scale machine learning pipelines.
• Develop new systems leveraging real-time streaming technologies like Kafka and Flink.
Requirements:
• Current BS/MS students majoring in Computer Science, Engineering, or a related subject, ideally in their final year of study.
• Demonstrated working experience in Java, Shell, and Python development.
• Excellent knowledge of Relational Databases, SQL, and ORM technologies (e.g., JPA2, Hibernate) is considered a plus.
• Experience with 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.
Benefits:
• Gain hands-on experience directly relevant to your field of study.
• Work on real projects that contribute directly to the company’s operations and impact.
• Learn about company operations and how teams collaborate effectively.
