Kumo

Opportunistic Hire

Posted 3 Hours Ago

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Hiring Remotely in Mountain View, CA, USA

Remote or Hybrid

Entry level

Artificial Intelligence • Cloud • Machine Learning • Software • Database

The Role

This job seeks exceptional candidates with a strong technical foundation in machine learning or data infrastructure, motivated to solve complex problems and drive measurable outcomes.

Summary Generated by Built In

We’re building a fundamentally new approach to machine learning on structured data, and not every impactful role fits neatly into a predefined job description. We’re always interested in connecting with exceptional individuals who bring a strong technical foundation, product intuition, and a bias toward execution.

This section is intended for candidates who have demonstrated the ability to build and ship meaningful systems, drive measurable outcomes, and operate effectively in fast-paced, ambiguous environments. Whether your background is in machine learning, data infrastructure, distributed systems, or technical go-to-market, you’re motivated by solving complex problems and translating them into real-world impact.

If you’re excited about shaping the future of how organizations leverage their data and believe you can contribute at a high level, we encourage you to reach out and share how you would add value to Kumo.

We'll reach out if any of the hiring managers are interested in your background.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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The Company

HQ: Mountain View, CA

38 Employees

Year Founded: 2021

What We Do

Democratizing AI on the Modern Data Stack! The team behind PyG (PyG.org) is working on a turn-key solution for AI over large scale data warehouses. We believe the future of ML is a seamless integration between modern cloud data warehouses and AI algorithms. Our ML infrastructure massively simplifies the training and deployment of ML models on complex data. With over 40,000 monthly downloads and nearly 13,000 Github stars, PyG is the ultimate platform for training and development of Graph Neural Network (GNN) architectures. GNNs -- one of the hottest areas of machine learning now -- are a class of deep learning models that generalize Transformer and CNN architectures and enable us to apply the power of deep learning to complex data. GNNs are unique in a sense that they can be applied to data of different shapes and modalities.