Syngenta is a global leader in agriculture; rooted in science and dedicated to bringing plant potential to life. Each of our 28,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture.
Through leading innovations, we help farmers around the world meet the challenge of feeding a growing population and taking care of our planet. We are currently seeking a
Senior Computer Vision Systems Engineer on our Global Product Biology team, which is part of the R&D organization responsible for the development of new Crop Protection CP solutions for growers worldwide.
A key member of a fast-paced, multi-functional team directly embedded with the organizational customers Design and implement systems and algorithms for Digital Biological Assessments to support our data-driven Crop Protection Product Development strategy globally Build computer vision and artificial intelligence systems that automate measurement and understanding of plants, pests, and products in the field Build imaging data collection hardware systems from handheld to UAV to extend our sensing capabilities Scale your work across petabytes of remote and proximally sensed imagery and geospatial data from every corner of the planet Drive discovery of internal scientific business needs and deliver imaging-based solutions for Crop Protection development, across product lines and across the globe
Write maintainable, reusable code for image analysis and systems integration Build the end-to-end image analysis system from image collection through data output to back-end systems Act as a subject matter expert in Computer Vision, Artificial Intelligence, Machine Learning, Remote Sensing, Geospatial Data and Analysis, Photogrammetry, and design of new imaging systems and capabilities within the Global Product Biology team Develop new full-stack systems for capture, storage, and analysis of images and data Develop, test, and deploy new machine learning models for computer vision applications Develop new image collection systems including sensor and optics selection and basic hardware and supporting electronics design and manufacture Collaborate with external vendors and partners to achieve project objectives
Must be authorized to work in the U.S. without sponsorship from Syngenta Ph.D. is preferred, Minimum Bachelor’s degree with experience 5+ years’ work experience in software engineering, machine learning, or data science. Proficiency with the fundamentals as well as state of the art methods in image analysis, computer vision, and machine learning Strong programming skills in Python
Experience with photogrammetric processing tools, Agisoft Metashape Experience with machine/deep learning frameworks, Tensorflow, Keras and PyTorch Proficiency with remote sensing, location, mapping, and geospatial data Proficiency with basic electrical system and PCB design, prototyping, and manufacturing Understanding of QGIS, git, and AWS
What We Offer:
A culture that celebrates diversity & inclusion, promotes professional development and strives for a work-life balance that supports the team members. offers flexible work options to support your work and personal needs Full Benefit Package Medical, Dental & Vision that starts your first day 401k plan with company match, Profit Sharing & Retirement Savings Contribution Paid Vacation, 12 Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, and Corporate Discounts, among other benefits
Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion, or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
Family and Medical Leave Act FMLA
Equal Employment Opportunity Commission's EEOC
Employee Polygraph Protection Act EPPA