Machine Learning Engineer

This is a full-time, on-site Machine Learning Engineer role based in Hayward, CA. Verdant Robotics builds a computer vision and robotic system that targets weeds with millimeter accuracy, controlling weeds with up to 99% reduction in chemical use while fully sparing the crop, thus improving yields. Our clients are relying on our machines for a wide variety of crops across the US. Over the next few decades, agriculture must overcome multiple major and contradictory challenges: increasing food demand, labor shortages, increasing input costs, limits on chemical use, and climate change. We think that remaining competitive in this shifting landscape will require decision-making at the level of individual plants, made possible at scale with robotics. The Machine Learning team is responsible for the performance of the robot’s visual decision-making and all the data, training pipelines, and research to support that goal. As a small team, we do everything, from designing the next deep learning algorithm to talking to farmers in the field, so we are looking for someone with a broad background. We are looking for a software engineer with experience in industrial machine learning, robotics, and data systems who can lead projects focused on most of the following areas: Deep Learning (python) Perception GPU optimization Real time software (C++) Data collection, labeling, and training pipelines Database management An advanced degree in Computer Science and several years of industry experience is one path to these skills but experience can come in many forms. AgTech is a young field that requires new ideas and different perspectives. Our engineers have a wide range of experience in robotics, space, autonomous driving, and agriculture. Our office is located in Hayward, CA about 25-30 mins average commute from most places in the Bay Area. To learn more, visit www.verdantrobotics.com . Salary range: $140,000–$200,000 depending on experience. Show more Show less