Data Engineer, Kumo
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
- 1+ years of professional experience in SaaS/Enterprise companies
- Strong experience with data ingestion and connectors
- Experience in building end-to-end production-grade data solutions on AWS or GCP
- Experience in building scalable ETL pipelines
- Ability to plan effective data storage, security, sharing, and publishing within an organization
- Experience in developing batch ingestion and data transformation routines using ETL tools
- Familiarity with AWS services such as S3, Kinesis, EMR, Lambda, Athena, Glue, IAM, RDS
- Proficiency in several programming languages (Python, Scala, Java)
- Familiarity with orchestration tools such as Temporal, Airflow, Luigi, etc
- Self-starter, motivated, with the ability to structure complex problems and develop solutions
- Excellent communication skills and ability to explain data and analytics strengths and weaknesses to both technical and senior business stakeholders
Desirable
- Deep familiarity with Spark and/or Hive
- Understanding of different storage formats like Parquet, Avro, Arrow, and JSON and when to use each
- Understanding of schema designs like normalization vs. denormalization
- Proficiency in Kubernetes, and Terraform
- Azure, ADF and/or Databricks skills
- Experience with integrating, transforming, and consolidating data from various data systems into analytics solutions
- Good understanding of databases, SQL, ETL tools/techniques, data profiling and modeling
- Strong communications skills and client engagement
What the job involves
- At Kumo, we are building a machine learning platform for data lakehouses, enabling data scientists to train powerful Graph Neural Net models directly on their relational data, with only a few lines of declarative syntax known as Predictive Query Language
- The Kumo platform enables users to build models a dozen times faster, and achieve better model accuracy than traditional approaches
- We're seeking intellectually curious and highly motivated Data Engineers to become foundational members of our Machine Learning and Data Platform team
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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