Kumo

HQ
Mountain View, California, USA
38 Total Employees
Year Founded: 2021

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Jobs at Kumo

Search the 9 jobs at Kumo

Recently posted jobs

5 Hours Ago
Mountain View, CA, USA
Hybrid
Artificial Intelligence • Cloud • Machine Learning • Software • Database
As a Software Engineer at Kumo Experiences, you will develop new product features that enhance machine learning experiences on relational databases. Responsibilities include working with leadership on user journeys, driving product roadmaps, collaborating across teams, and ensuring timely feature delivery. You'll design frameworks, write high-quality code, and conduct code reviews.
5 Hours Ago
Mountain View, CA, USA
Hybrid
Artificial Intelligence • Cloud • Machine Learning • Software • Database
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.
5 Hours Ago
Mountain View, CA, USA
Hybrid
Artificial Intelligence • Cloud • Machine Learning • Software • Database
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.
5 Hours Ago
Mountain View, CA, USA
Hybrid
Artificial Intelligence • Cloud • Machine Learning • Software • Database
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.
23 Hours Ago
Mountain View, CA, USA
Hybrid
Artificial Intelligence • Cloud • Machine Learning • Software • Database
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.
23 Hours Ago
Mountain View, CA, USA
Hybrid
Artificial Intelligence • Cloud • Machine Learning • Software • Database
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.
12 Days Ago
London, Greater London, England, GBR
Remote
Artificial Intelligence • Cloud • Machine Learning • Software • Database
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.
22 Days Ago
London, Greater London, England, GBR
Remote
Artificial Intelligence • Cloud • Machine Learning • Software • Database
Lead ML Solutions Architect role for EMEA region at Kumo, building a machine learning platform for data lakehouses. Responsibilities include technical discovery, product demos, guiding customers, leading architecture reviews, and maintaining customer relationships. Must have 2+ years of experience deploying AI/ML solutions for customers.
23 Days Ago
Austin, TX, USA
Remote
Artificial Intelligence • Cloud • Machine Learning • Software • Database
ML Solutions Architect responsible for technical liaison with customers on the East Coast, showcasing how the Kumo platform can address their machine learning needs. Craft solution architecture, conduct product demos, guide customers, and maintain relationships with technical champions. Provide market feedback to refine product features and generate educational materials for users.