We are living in a world where machines are becoming smarter every day. They are taking over mundane yet crucial tasks (such as driving) and letting humans focus on living a more creative, fruitful life. Training these machines to perceive the physical environment and make mission-critical decisions is a complex task that heavily relies on using massive amounts of perception data. The large volume, high variety, and lack of structure in the perception data pose a crippling data operation problem for teams that build these smart machines. We want to solve this problem.
Caliber Data Labs is committed to simplifying machine learning (ML) workflow management for perception-heavy applications such as autonomous vehicles, automated drones, robotics, and video surveillance. By focusing on finding the most valuable training data, our flagship product, SceneBox, helps perception teams:
build better training datasets faster
focus on core ML tasks rather than data operations
reduce ML product time to market
Our ideal candidate is mission-driven, passionate, meticulous, and takes ownership in building world-class products.
As a team, we will make sure you learn every hour of every day, support you to take risks and make bold decisions, and enable you to have access to the best technical and scientific resources through our top-notch investors, and advisors in Silicon Valley and Canada.