Job Description
Join us at the heart of the Kumo Graph Neural Network and Relational Deep Learning architecture, where you'll play a pivotal role in shaping and expanding its capabilities. You'll drive innovative designs that enhance our GNN backbone and integrate cutting-edge temporal learning strategies. Your work will bridge the gap between foundational models and GNNs, tackling diverse use cases like recommendation systems, customer retention, forecasting, and fraud detection. Leverage your expertise in machine learning and AI to solve critical challenges, creating scalable and adaptable solutions that push the boundaries of what’s possible. You want to solve real-world problems and get things done. The candidate has 3+ years experience in designing ML algorithm solutions and 2+ graph-based machine learning papers at top venues. Candidate should also have analytical approach coupled with solid communication skills and a sense of ownership.
About Kumo
Kumo is at the heart of the Graph Neural Network and Relational Deep Learning architecture.