Machine Learning Engineer, Numbers Station
$125-175k
+ Equity
Office located in Menlo Park, CA
AI data workflow automation
Open for applications
AI data workflow automation
1-20 employees
Open for applications
$125-175k
+ Equity
Office located in Menlo Park, CA
1-20 employees
Company mission
To enable data practitioners of all skill levels to rapidly automate workflows in the modern data stack using natural language.
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Company mission
To enable data practitioners of all skill levels to rapidly automate workflows in the modern data stack using natural language.
Few candidates hear
back within 2 weeks
Our take
Data teams face a difficult task, with the data they need for their analytical work entered messily, located incorrectly or stuck in disconnected silos around the business. Before they are able to begin to work with data it has to be cleaned and reorganized manually, wasting vast amounts of time and resources. Enter Numbers Station, an AI-powered data stack automation tool which uses the latest developments in AI to clean and organize a company's data in a fraction of the time.
At a time when a lot of AI talent is focusing on content generation, Numbers Station is virtually alone in applying the technology to data cleaning, where the problems are just as difficult to solve even if they can't create exciting headlines. This means it's in a strong position to build a market-leading company in this space while helping its customers make better use of their data.
Funding will allow the company to further develop its product and hire additional talent. In the longer term, the company intends to move beyond data preparation to data analysis, allowing it to grow into an essential component in the data stacks of future enterprises.
Steph
Company Specialist at Welcome to the Jungle
Funding (last 2 of 3 rounds)
Mar 2023
$12.5m
SERIES A
Aug 2022
$5m
SEED
Total funding: $22.5m
This company has top investors
Leadership
Chris Aberger
(Co-Founder & CEO)Previously Senior Director of Machine Learning at SambaNova Systems. Prior to that, they were an intern at Google, Apple and IBM.
Ines Chami
(Co-Founder & Chief Scientist)Before co-founding Numbers Station they were an AI/ML Researcher at Factory. Prior to that, they were a Research Intern at Google and a Data Science Intern at Microsoft.
Sen Wu
(Co-Founder)Studied at Tsinghua University and Stanford University.
Chris Ré
(Co-Founder)Also an Associate Professor at Stanford University. Studied Physics and Computer Science at Stanford.