Software Engineer, Kumo
Infrastructure
Stock available
Office located in Mountain View, CA
Predictive AI platform
Open for applications
Predictive AI platform
21-100 employees
Open for applications
Stock available
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
- 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
- 2+ years experience in software design, development, and algorithm-related solutions
- 2+ years experience programming in OOP languages like Java, Python, or C++
Desirable
- 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
What the job involves
- 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
- Design the core of our training and inference systems
- 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
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
Insights
Few candidates hear
back within 2 weeks
31% employee growth in 12 months
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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