CVML Engineer, See and Spray

Job not on LinkedIn

🔥 0 minutes ago

🏄 California – Remote

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💵 $100k - $176k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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Logo of Blue River Technology

Blue River Technology

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.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Annual performance bonus • Competitive benefit package

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