Software Engineer
Full Stack
Updated on 11/30/2023
Kumo

11-50 employees

Turn-key AI solution for large-scale data warehouses
Company Overview
Kumo.AI is a leader in the field of machine learning, offering a seamless integration between modern cloud data warehouses and AI algorithms, which simplifies the training and deployment of ML models on complex data. Their product, PyG, is a highly regarded platform for the training and development of Graph Neural Network (GNN) architectures, with over 40,000 monthly downloads and nearly 13,000 Github stars, indicating its popularity and acceptance in the tech community. The company's declarative interface allows users to focus on defining the ML task, after which Kumo builds and executes an end-to-end ML workflow, demonstrating a user-friendly approach to complex data analysis.
AI & Machine Learning
Data & Analytics
B2B

Company Stage

Series B

Total Funding

$54.5M

Founded

2021

Headquarters

Mountain View, California

Growth & Insights
Headcount

6 month growth

16%

1 year growth

32%

2 year growth

716%
Locations
Mountain View, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AngularJS
JavaScript
React.js
Kubernetes
CategoriesNew
Software Engineering
Requirements
  • BS (preferred MS, Ph.D.) in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
  • Saas products, enterprise companies Experience designing APIs, database schemas, and backend micro-services to power a sophisticated internal tool or user-facing product
  • Experience writing clean JavaScript including experience with modern frameworks (Angular/Ember/React) and debugging tools (Chrome Dev Tools, etc.)
  • Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security, and usability
  • Experience with Test Driven Development
  • 4+ years of industry experience
Responsibilities
  • Work with the Machine Learning platform teams, and product management to reshape how companies and users make AI work to solve their real-world problems
  • Unleash the predictive power of cloud data to make the world a better place
  • Interface with complex AI backends and set the foundation for how we build robust, scalable, and delightful experiences on the cloud
  • Produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration
Desired Qualifications
  • Hands-on experience with Cloud Native tools/technologies, Kubernetes, containers, Infrastructure as Code
  • Working knowledge of OAuth, OIDC, SAML, JWT, and identity and access management