Labelbox’s mission is to build the best products for humans to advance artificial intelligence. Real breakthroughs in AI are reliant on the quality of the training data. Our training data platform enables organizations to improve their machine learning models far quicker and more accurately. We are determined to build software that is more open, easier-to-use, and singularly focused on getting our customers to performant ML faster.
Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Allstate, Black + Decker, Bayer, Warner Brothers and leading AI-focused companies including FLIR Systems and Caption Health. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.
About the Role
Labelbox is hiring a Data Engineer to build new data pipelines and scale existing ones. As our company grows, this person will build data infrastructure that brings together tech, product, and operational functions and informs strategic decision making at the executive level. You will be responsible for transforming raw data in the data warehouse into clean, reliable, organized data models that allow our organization to make informed data-driven decisions. Our tech stack currently consists of Bigquery, DBT, and Looker along with other tools to replicate all of our data to our data warehouse.
Do great work. From anywhere.
We hire great people regardless of where they live. Work wherever you’d like as reliable internet access is our only requirement. We communicate asynchronously, work autonomously, and take ownership of our work.
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