Software Engineering, Kumo
NCG
Office located in Mountain View, CA
Predictive AI platform
Open for applications
Predictive AI platform
21-100 employees
Open for applications
Office located in Mountain View, CA
21-100 employees
Company mission
To help data teams solve the world's toughest problems.
Role
Who you are
- Degree: Recent graduate with a BS in Computer Science, Engineering, or a related field. If you have an MS or Ph.D., that’s a bonus!
- Skills: Strong foundation in software development, systems design, and algorithms. Proficiency in programming languages like Python, Java, or C++
- Passion: A deep interest in machine learning and cloud technologies. You’re excited about building scalable, high-performance systems
- Curiosity: An eagerness to learn and grow in an innovative, fast-paced environment
Desirable
- Experience with cloud platforms like AWS, Azure, or GCP
- Knowledge of distributed systems and databases
- Exposure to machine learning frameworks like PyTorch or TensorFlow
- Hands-on experience building APIs or microservices
- Contributions to open-source projects, research papers, or university-based ML work
What the job involves
- We’re looking for motivated and talented new grads to join us in the following areas:
- Data Engineering
- Infrastructure Engineering
- Distributed Systems Engineering
- You'll have the opportunity to work alongside world-class engineers, researchers, and leaders from top institutions like Stanford
- Design & Build: Help design the core systems for model training, inference, and scaling, working on everything from system architecture to APIs
- Innovate: Contribute to the development of cutting-edge machine learning techniques tailored to work seamlessly with large-scale data warehouse systems
- Collaborate: Work closely with engineering leaders and research scientists to bring new ideas to life and tackle real-world challenges
- Deliver: Build and deploy production-quality systems that scale, ensuring the system is fast, reliable, and secure
Our take
Kumo offers an AI-powered platform to help businesses tackle predictive problems, with a specific focus on graph neural networks. Founded by several AI executives from companies including Pinterest, Airbnb and LinkedIn, the company certainly has strong foundations to build on.
Kumo can be used for lots of different use cases, including new customer acquisition, customer retention, personalization, abuse detection and financial crime detection. The company has attracted considerable interest from enterprises, largely because these companies spend millions of dollars storing data, and yet are unable to effectively leverage most of it due to the time, effort, and skill required.
Having brought in series B funding in 2022, the company is moving to bring its AI technology to more companies, whilst investing in R&D efforts to expand its platform and services. Lately, developments have included the announcement that Kumo can now run deep learning directly in the Data Cloud with Snowpark Container Services (eliminating data exfiltration and security concerns), as well as the ability to deploy Kumo on Databricks' Lakehouse Apps without ever leaving the ecosystem.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Sep 2022
$18m
SERIES B
Apr 2022
$18.5m
SERIES A
Total funding: $36.5m
Company benefits
- Gold Plan Health Insurance
- Flexible Spending Accounts for Health and Dependent Care
- Fully remote and hybrid work as an option
- Dental & Vision Coverage
- Unlimited discretionary time off
- South Bay office, 0.4 miles from Mountain View Caltrain stop
- 401k Plans
- Full-week shutdown at end-of-year
- Family Leave
Company values
- Customer-Centric - We have seen firsthand the incredible effort to implement a single, production-quality predictive model. With Kumo, the team aims to solve this problem and make graph learning easy to use, so any business (and person and user) can leverage the power of graph-based AI in minutes
- Optimistic About Innovation - We are optimistic by nature, and in particular about the massive potential of AI and graph learning. The possibility and promise of GNNs, rendered easy and usable for any enterprise to use, motivates our work
- Better Together - We believe enterprise data is inherently highly connected, and that insight about connectedness powers our AI tech. We also believe that the best teams are highly connected. We are all nodes in the network; we are better together
Company HQ
Old Mountain View, Mountain View, CA
Articles
Leadership
Vanja Josifovski
(CEO & Co-Founder)Previously served as the CTO for Airbnb and Pinterest. Also worked as a Technical lead at Google.
Hema Raghavan
(Co-Founder)Previously served as a Senior Director of Engineering for LinkedIn and as a Scientist for Yahoo!
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