IntelinAir, Inc., is an aerial imagery analytics company focused on agriculture with a goal to deliver actionable intelligence to help farmers make data-driven decisions to improve operational efficiency, yields, and ultimately their profitability. We combine the power of aerial imagery analytics through traditional computer vision and modern deep learning methodologies, agronomic science and mobile technologies to deliver near real-time decision support to farmers. We were founded in 2015 and have offices in San Jose, California, and Champaign, Illinois. Our team of more than a dozen renowned PhD scientists and engineers combines the people and technology that put the full power of digital agriculture into a farmer’s control.
IntelinAir currently has an exciting opportunity for a Computer Vision Researcher to join our Research & Development team and help us launch our upcoming solution for agriculture.
Responsibilities:
• Develop image processing algorithms for delivering actionable insights for farmers using imagery captured from drone flights;
• Interface with scientists and software engineers to integrate the data analytics into IntelinAir’s proprietary software and deploy to cloud;
• Interface with the product head to ensure the development of successful products.
Qualifications:
• Strong experience with mapping, structure from motion, bundle adjustment, 3D reconstruction, visual feature extraction, and similar algorithms is desired;
• Strong experience with image analysis, statistical analysis, deep learning (including but not limited to convolutional neural networks and similar algorithms) is desired;
• Real-world software experience in C/C++, Python preferable under OS X or Linux;
• Experience with geospatial, planetary, satellite, or other datasets is valuable;
• Familiarity with cloud systems and cloud infrastructure is a plus;
• Experience with agile software development and working with remote teams is a plus.
We offer competitive pay and comprehensive benefits including:
• Basic health insurance
• Employee Stock Option Plan
• Paid vacation/holidays
• Career advancement opportunities
Job Type: Full-time
Required education: Ph.D. in Computer Science or the equivalent. Candidates with a MS degree and sufficient experience will be given serious consideration.