
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.
🔥 2 minutes ago
🏄 California – Remote
💵 $160k - $287k / year
⏰ Full Time
🟠 Senior
🤖 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.
• Build production models, designing, training, and deploying production-grade deep learning models for critical perception tasks. • Advanced Edge optimization including fine-tuning models for real-time inference on embedded NVIDIA GPU platforms. • Own model development from rapid prototyping through to validation and final deployment. • Collaborate closely with robotics team to integrate perception outputs into the robotics stack. • Analyze performance on mowing site data, identify failure cases, and continuously improve models. • Develop strategies for using real and synthetic data to train models and validate performance.
• Bachelor’s or Master’s Degree in Computer Science or a related field, graduate degree preferred. • 5+ years of post-academic experience building and deploying production vision models on real-time embedded systems. • Hands-on expertise with deep learning frameworks (PyTorch preferred) and a deep understanding of modern computer vision architectures. • Proven track record of taking models through advanced optimization pipelines with strong proficiency in TensorRT, NVIDIA ModelOpt, and ONNX runtime. • Strong Python programming skills for model development and a strong command of C++ for writing performance-critical code.
• annual performance bonus • competitive benefits package
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