Carbon Robotics is the leader in physical AI for agriculture, helping farmers become more profitable and sustainable. Its flagship product, the LaserWeeder, is the world's leading commercial laser weeding system with hundreds of units operated by farmers in 15 countries worldwide.
LaserWeeder combines computer vision, AI, robotics, and high-powered lasers to identify weeds and destroy them with sub-millimeter precision-no herbicides, hand labor, or soil disturbance required. Growers achieve weed control cost reductions of up to 80% and crop yield increases of 5-50%, with payback in one to three years. The system is powered by Carbon AI's Large Plant Model (LPM), trained on 150 million labeled plants, and can start weeding any crop or field in minutes.
The company's second product is Carbon Autonomy, the most dependable tractor autonomy solution. Carbon Autonomy includes a retrofit tractor autonomy kit for John Deere tractors, autonomy software, and remote supervision for real-time interventions if required.
Carbon Robotics is based in Seattle, Washington State, USA and has raised $185 million in capital since 2018 from leading investors including NVIDIA's NVentures and BOND.
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As a Deep Learning Quality Specialist at Carbon Robotics you'll be responsible for maintaining our expanding dataset of high resolution images that feed our computer vision algorithms. You will develop a deep understanding of our data annotation practices and assist in diagnosing & fixing complex deep learning models to ensure our products are robust & reliable. You will help the Deep Learning team by performing field tests and identifying issues with models. You'll do whatever it takes - which includes going to the farm - to ensure our customers have reliable and safe products.
Our office is based in Seattle, WA, but this role can be fully remote.
What you'll do: