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 create technical breakthroughs in industries like agriculture and construction. Summary We are seeking a highly motivated individual to join our team as a junior/early-career CVML Engineer. This position supports the See & Spray CVML team within Blue River Technology and works in a multi-disciplinary team with the mission of bringing See and Spray to farms around the world. Our ideal candidate (you!) will play a crucial role in implementing Data-Centric AI practices for the See & Spray project. You have an analytical mind and take a data-driven approach to answering questions. Your contributions will be instrumental in driving the success of our machine learning initiatives and enabling evidence-based decision-making throughout the company. Employment Type : Full-Time Work Location : Remote in the United States Visa sponsorship : Open to visa sponsorship. Job
Responsibilities A combination, not necessarily all-inclusive, of the following: Execute reproducible experiments on our large data catalog to further the understanding of model performance. Implement and evaluate novel CVML techniques, ranging from CNNs to large Transformer-based Foundation models, to improve our products. Execute and improve existing rigorous model evaluation pipelines. Collaborate on debugging and troubleshooting issues in ML models. Lean into the responsible use of AI for software development. Required Experience and Skills Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. 1-2 years of relevant engineering work experience. Understanding of the fundamentals of statistical learning. Familiarity with the Python data science and ML stack: PyTorch, NumPy, pandas, scikit-learn. Strong problem-solving and analytical skills with a keen attention to detail. Ability to work collaboratively in a team environment and effectively communicate complex technical concepts. Passion for emerging technologies, artificial intelligence, and computer vision. Preferred Experience and Skills Prior experience or coursework in CVML, natural sciences, and reproducible research. Knowledge of data visualization best practices and effective storytelling with data. Understanding of data modeling and database design principles. Familiarity with agricultural technology, agronomy, or farming. Only individual applicants will be considered. We do not work with unsolicited third-party agencies or proxy interview services. At Blue River, your base pay is one part of your total
