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In this role, you will enhance Kumo's Graph Neural Network architecture, design innovative ML solutions, tackle diverse use cases, and leverage your machine learning and AI expertise to create scalable solutions. Your work will focus on integrating temporal learning strategies and bridging foundational models with GNNs.

This job is an opportunistic hire for talented individuals who are innovative and driven. The company is open to considering applicants regardless of specific roles currently available and will reach out if their hiring managers are interested.

As a Data Engineer, you will build and optimize production-grade data solutions on AWS or GCP, develop scalable ETL pipelines, and manage data storage and transformation routines. You will work closely with the Machine Learning and Data Platform team and engage with both technical and business stakeholders.

As a Software Engineer on the Cloud Engineering team at Kumo, you'll architect scalable systems for the Kumo AI platform, collaborate with teams to influence ML tech scaling, and enhance CI/CD processes. You will be responsible for developing infrastructure microservices, building tools for deployment, and managing ML Ops, thereby influencing the productivity of engineers and users through big data solutions.

As a Software Engineer for Kumo, you will develop scalable systems, build tools for ML Ops, and automate CI/CD pipelines. Collaborating with a diverse team, you will influence product direction and design foundational infrastructure to optimize cloud data applications and performance monitoring.

The Software Engineer - GNN Expert will design and enhance graph neural network architectures, focusing on innovative machine learning solutions for diverse applications like recommendation systems and fraud detection. They will leverage their expertise in AI and deep learning frameworks, primarily Python and PyTorch, to create scalable solutions in a dynamic environment.