[Hiring] Machine Learning Engineer @kumo.ai

Role 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
• 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. Get ready to make a significant impact in a dynamic and exciting environment!

Qualifications

• Ph.D. in Computer Science or Machine Learning or related technical discipline, or related practical experience
• 3+ years experience in designing ML algorithm solutions
• 2+ graph-based machine learning papers at top venues such as NeurIPS, ICLR, ICML, etc.
• Well experienced in Python and its deep learning framework ecosystem, such as PyTorch

Requirements

• Passionate about OSS, including various contributions
• Experience developing large-scale systems
• Ability to diagnose technical problems, debug code, and automate routine tasks
• Analytical approach coupled with solid communication skills and a sense of ownership

Benefits

• Stock
• Competitive Salaries
• Medical, dental insurance