
201 - 500 employees
Founded 2011
🌾 Agriculture
🤖 Artificial Intelligence
🔧 Hardware
Agriculture • Artificial Intelligence • Hardware
Blue River Technology is at the forefront of agricultural innovation, developing intelligent machinery designed to improve farming yields and reduce environmental impacts. By integrating robotics, computer vision, and machine learning, the company is revolutionizing agriculture through a unique blend of Silicon Valley tech and hands-on fieldwork. Their purpose is to tackle significant challenges in agriculture, optimize chemical usage, and drive global sustainability, all while fostering an engaged and collaborative company culture.
🔥 0 minutes ago
🏄 California – Remote
💵 $113k - $202k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
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201 - 500 employees
Founded 2011
🌾 Agriculture
🤖 Artificial Intelligence
🔧 Hardware
Agriculture • Artificial Intelligence • Hardware
Blue River Technology is at the forefront of agricultural innovation, developing intelligent machinery designed to improve farming yields and reduce environmental impacts. By integrating robotics, computer vision, and machine learning, the company is revolutionizing agriculture through a unique blend of Silicon Valley tech and hands-on fieldwork. Their purpose is to tackle significant challenges in agriculture, optimize chemical usage, and drive global sustainability, all while fostering an engaged and collaborative company culture.
• Design, develop, and optimize CVML models and training pipelines for perception tasks including segmentation and depth estimation, focusing on safety and performance in challenging production environments • Own the full ML development lifecycle from initial prototyping through production-scale deployment on edge and cloud systems • Collaborate with cross-functional engineering teams to integrate perception models into Blue River's autonomous tractor initiative • Evaluate and improve model performance through implementation, testing, and metric analysis across large-scale datasets • Apply machine learning and computer vision techniques to real-world farming challenges and advance autonomous agriculture
• Bachelor’s or Master’s Degree in Computer Science or a related field; graduate degree preferred • 2 years of experience developing high-performance ML systems and training and optimizing DNNs for segmentation, depth, and related perception tasks with large-scale datasets • Strong Python and PyTorch/TensorFlow skills • Solid grasp of vision and deep learning fundamentals • Strong communication skills for collaborating with interdisciplinary teams and integrating models into edge and cloud systems • Open to visa sponsorship
• Annual performance bonus • Competitive benefit package • Career development • Learning & development • Mentorship • Diversity, Equity, and Inclusion programs • Reasonable accommodation for individuals with disabilities
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