Machine Learning Engineer

Who you are

You have a strong background in machine learning and data analysis, with experience in designing and deploying models to detect fraudulent behaviors. Your expertise in Python and frameworks like TensorFlow and Keras allows you to build robust solutions that enhance platform security while ensuring a seamless user experience.

You are skilled in developing scalable data pipelines and real-time inference systems, capable of handling high-volume, low-latency workloads. Your analytical mindset enables you to conduct deep behavioral and adversarial data analysis, uncovering trends and patterns that inform fraud prevention strategies.

What you'll do

In this role, you will lead the architecture of fraud detection and prevention systems, balancing security needs with user experience. You will design, train, and deploy both traditional machine learning and large language model-powered systems to effectively identify and mitigate fraudulent activities across various marketplace interactions.

You will collaborate with cross-functional teams to build intelligent user graphs that model behavioral patterns and collusion networks. Your work will involve developing scalable data pipelines that support real-time processing and inference, ensuring that the systems you create are both efficient and effective.

What we offer

Whatnot provides a dynamic work environment where innovation is encouraged. You will have the opportunity to work with a talented team dedicated to redefining e-commerce. We offer competitive compensation and benefits, along with a culture that values diversity and inclusion. Join us in building the future of online marketplaces and making a significant impact in the world of commerce.