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We are looking for a highly skilled, energetic software engineer to join our team. The primary role of this position is improving and building upon the codebase of our image processing pipeline for converting drone-based imagery of agricultural fields into maps of plant traits. Phenotyping here means the measurement of crop traits which are expressions of the plant’s genes, and we have developed a drone-based imaging system to do it. Tasks include: camera model calibration, georeferencing & image registration, transformation from raw pixel values to physical units, data extraction within regions of interest, and feature extraction. The position will be based at our company headquarters in Sunnyvale, CA, with occasional travel to test out your work in agricultural areas. Qualifications Bachelor’s degree in Computer Science or related area Experience manipulating georeferenced imagery and/or remote sensing image processing Fluency and strong skills in Python...

We serve the agricultural industry with revolutionary computer-vision and deep learning based equipment. These machines are changing the future of farming by enabling farmers to optimize every plant in their fields. Our technology dramatically reduces the amount of chemicals used, improves farmer profitability, and captures valuable plant-by-plant data.   We have over 70 people on our team who come from diverse backgrounds in robotics, computer vision, machine learning, agriculture and business. As a pioneer in the space we have designed and deployed See & Spray machines that apply pesticide only where needed, reducing herbicide use by 90%.   In September, 2017, we were acquired by John Deere & Company, a Fortune 500 company that brings 180 years of experience in designing, manufacturing, and distributing innovative products to farmers. While we continue to operate as an independently-run subsidiary, this new partnership will greatly expand the breadth of our team's...

You will take on an important role within the BioAssay Express project, which is the first drug discovery platform for assay informatics. You will be using multiple front- and back-end technologies (e.g. Java, TypeScript/JavaScript, Apache Tomcat, jQuery, OpenNLP, among others) to extend and improve an enterprise web application. Primary tasks include: Improving the natural language processing and machine learning technology for predicting assay annotations from existing information Maintaining the underlying ontology-based annotation system for integration with the greater semantic web Designing a quality control infrastructure to validate new versions of the platform and releasing to multiple sites in real time Refining the user interface in response to feedback from scientists Familiarity with the underlying technologies is desirable but not essential: you must be able to learn quickly, and have a passion for making a difference to modern drug discovery. To...

We were established in 2014 to revolutionize the way information about the built environment is created and consumed. We leverage geospatial imagery, computer vision, and machine learning to instantly and automatically extract proprietary property data. This data forms the basis from which we offer comprehensive data and analytics solutions delivered instantaneously via API. We establish a new category of property data & analytics, offering immediacy, coverage, and scale comparable to public record data, but with the currency and types of features which typically require in-person inspection. Our team is comprised of entrepreneurs with cutting edge successes in computer vision, real estate, and risk analysis. We are backed by leading venture capital firms, and based in Mountain View, CA and Munich, Germany. We have established are continue to build a great team culture, and this is something which is a priority.  We believe: Talent is critical, but best when...