About the role
We’re Blue River, a team of innovators driven to create intelligent machinery that solves monumental problems for our customers. We empower our customers: farmers, construction crews, and foresters to implement safer and more sustainable solutions, driving increased profitability with less reliance on scarce labor. We believe that focusing on the small stuff, pixel-by-pixel and task-by-task, leads to big gains. Blue River Technology aligns with John Deere’s vision to “innovate on behalf of humanity” by quickly identifying and solving high-value, high-uncertainty challenges in AI, machine learning, computer vision, and robotics. BRT acts as a research-and-development flywheel, building not only new products but also new platforms that reliably create value for both Deere and its customers. From fully autonomous machines to highly precise farming equipment, BRT and Deere are partnering to deliver technical breakthroughs across industries such as agriculture and construction. Our people are at the heart of what we do. Through cross-disciplinary collaboration, this mission-driven team is eager to define the new frontier of robotics. We are always asking hard questions, rapidly iterating, and getting our boots in the field to figure it out. We won’t give up until we’ve made a tangible and positive impact on the planet! Blue River Technology is based in Santa Clara, CA. Summary We are looking for a highly skilled and energetic person to help improve and support our revolutionary robotic and vision-based systems for agriculture. You will be joining a world-class research and engineering team to provide critical skills in improving existing systems and pushing the boundaries of our technology. Job
Responsibilities The main job
responsibilities include: Research and develop image-processing and computer-vision algorithms for 2D and 3D scene segmentation. Develop effective experiments and methods to detect and characterize model performance issues in long-tail conditions. Exploring Deep Learning models and/or frameworks to push the performance frontiers of our current system, including exploring methods in the active learning space. Required Experience and Skills Enrollment in or completion of a degree program in Computer Science or a related field. Experience working with machine learning systems, with particular emphasis on computer vision and deep learning. Experience with Python and deep-learning frameworks like PyTorch. Attention to detail and ability to work independently. A positive attitude and willingness to take on a variety of tasks as necessary. Preferred Experience and Skills Enrollment in or completion of an advanced degree, e.g., M.S., Ph.D. in CS. Advanced proficiency in Python, PyTorch, or related libraries. Experience in geometric/classical computer vision and image processing. We are an equal-opportunity employer and do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other
