DataVisor is a next-generation security company that utilizes industry-leading unsupervised machine learning to detect fraudulent activity for financial transactions, mobile user acquisition, social networks, commerce and money laundering. Our solution is used by some of the largest Financial/Crypto sectorsin the world, including Visa, Synchrony Financial, Binance and Okcoin, to protect them from the ever-increasing risk 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 open, positive, collaborative, and results driven. Come join us!

As platform engineers, we are building a next-generation AI driven decision 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 detection 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. Join us to help usher in more innovative solutions to the fraud detection space.

Working as a software engineer, backend, you will develop our fraud and risk platform backend in Java and C++. You will work cooperatively with others across the organization to achieve shared goals to translate high-level roadmap vision into practical feature specifications and deliverables