Waste is a sign of inefficiency. According to McKinsey, $2.6T worth of materials are generated every year only to be disposed of with very little or no use. Today commercial buildings operated by corporations, hospitals, universities, etc. are responsible for 40% of all waste going to landfills, but have no way to track, manage and measure waste stream contamination, hauling bills and invoices, or how they are doing against their Zero Waste Goals. This industry is ripe for disruption.
Zabble Zero™ is the world’s only patented fully customizable end-to-end solution for waste monitoring providing real-time actionable insights with AI. Recently, Zabble was recognized as one of the top 5 startups advancing the circular economy with AI, and has been awarded multiple research grants from the U.S. Environmental Protection Agency. Leading institutions such as UCSF use Zabble to achieve their operational goals and reduce waste, save money and protect the environment.
Join this growing pre-seed stage company backed by Impact Angel Investors and help us achieve a Zero Waste World together.
We’re a nimble, distributed team, stacked with passionate experts who are committed to a vision of a sustainable future. And we’re looking for like-minded people to join us.
AI/Computer Vision Engineer
ABOUT YOU
You’re curious. You’re detail-oriented. You’re an innovator who is relentless in trying to solve problems. Especially, when it helps the planet. You’re an outstanding communicator who loves working in a remote capacity. You are a fast learner and can get things done without much help. You like being organized with your documentation and code, and maintain a high standard for data-driven model evaluation and performance. You go above and beyond in seeking challenges and leveraging resources to expand your knowledge and master the space.
ABOUT THE ROLE:
Your primary focus will be on research, implementation and delivery of groundbreaking computer vision AI models and algorithms for real-time waste analytics. You’ll gain real-world experience developing and refining image classification models on real-world data to classify bin fullness and detect objects to identify contamination. Your contribution will help improve the user experience for Zabble’s customers who inspect materials in the field every day. You will be working alongside other engineers and developers working on different layers of the product infrastructure. Here are the skills and experiences you’ll need:
MORE DETAILS
ABOUT US
Waste is a sign of inefficiency. According to McKinsey, $2.6T worth of materials are generated every year only to be disposed of with very little or no use. Commercial buildings operated by corporations, hospitals, universities, etc. are responsible for 40% of all waste going to landfills, but have no way to track, manage and measure waste stream contamination, hauling bills and invoices, or how they are doing against their Zero Waste Goals.
Zabble Zero is the world’s only patented end-to-end solution for waste monitoring providing real-time actionable insights with AI. Recently, Zabble was recognized as one of the top 5 startups advancing the circular economy with AI, and has been awarded multiple research contracts by the U.S. Environmental Protection Agency (USEPA).
Leading institutions such as Georgia State University, Stanford, UCSF and UNC Charlotte and cities such as City of Berkeley and City of Oakland leverage Zabble’s products to streamline their waste operations and gain granular visibility into their waste streams to reduce contamination and save money. Join our growing company backed by the USEPA and help us achieve a Zero Waste World together.
We’re a nimble, distributed team, stacked with passionate experts who are committed to a vision of a sustainable future.
HOW TO APPLY:
Please apply for this position here