Software Engineer

Infrastructure

Updated on 11/30/2023

11-50 employees

Website

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

AWS

Data Analysis

Java

Microsoft Azure

Pytorch

Tensorflow

Python

CategoriesNew

AI & Machine Learning

Software Engineering

Requirements

BS (preferred MS or Ph.D.) in Computer Science or related technical discipline, or related practical experience
4+ years experience in software design, development, and algorithm-related solutions
4+ years experience programming in OOP languages like Java, Python, or C++

Responsibilities

Design the core of our training and inference systems
Design and build systems to scale and integrate
Design APIs between the system components to decouple them and make independent development easy
Produce designs that can be iterated over time to achieve more scalability
Implement the first version of the product
Engage with customers, iterate on the product

Desired Qualifications

Knowledge of Cloud distributed storage/databases, file systems, and distributed storage
Ideal candidate would have the knowledge to integrate systems and distributed data processing technologies
Experience building Micro-services & Cloud Platforms on AWS, and Azure
Experience with industry, open-source projects, and/or academic research in large-data, parallel, and distributed systems
Experience in using and/or contributing to an inference serving technology, PyTorch, TensorFlow, etc
Experience in building machine learning platforms at large scale
Understand the fundamentals of machine learning, ideally in both academic and industry environments

Come and change the world of AI with the Kumo team!

The creation of the data warehouse emerged to solve the analytics problem of large amounts of data. Now, we’ve moved from megabytes to gigabytes to terabytes of data storage with no end in sight and companies invest millions of dollars to store and organize that data and only leverage a fraction of it for machine learning.

With Kumo, we are building the first data platform to seamlessly allow machine learning over data warehouses for faster, simpler, and smarter predictions to combat data waste and maximize data value. Query the future with Kumo.

In this role, you will help us design and build the core of our system working alongside seasoned engineering leaders with decades of experience and some of the best researchers from Stanford and other top universities. We are adapting and inventing cutting edge ML techniques to fit well with learning over data warehouses. The technical challenge here is to create scalable storage and compute systems that will fit well with both the data warehouse and the ML training and inference systems and provide for scalability, reliability, restart and security of cloud-first applications. The final product will follow a customer first approach and be extremely easy to use from both ML and cloud deployment.

The Value You’ll Add:

Design the core of our training and inference systems
Design and build systems to scale and integrate
Design APIs between the system components to decouple them and make independent development easy
Produce designs that can be iterated over time to achieve more scalability
Implement the first version of the product
Engage with customers, iterate on the product

Your Foundation:

BS (preferred MS or Ph.D.) in Computer Science or related technical discipline, or related practical experience
Role will be focused on Systems/Scalability/Integrations.
4+ years experience in software design, development, and algorithm-related solutions
4+ years experience programming in OOP languages like Java, Python, or C++

Your Extra Special Sauce:

Knowledge of Cloud distributed storage/databases, file systems, and distributed storage.
Ideal candidate would have the knowledge to integrate systems and distributed data processing technologies
Experience building Micro-services & Cloud Platforms on AWS, and Azure.
Experience with industry, open-source projects, and/or academic research in large-data, parallel, and distributed systems.
Experience in using and/or contributing to an inference serving technology, PyTorch, TensorFlow, etc.
Experience in building machine learning platforms at large scale
Understand the fundamentals of machine learning, ideally in both academic and industry environments

Benefits

Stock
Competitive Salaries
Medical Insurance
Dental Insurance

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.