CVML Engineer, See & Spray

Core responsibilities:

• Train and fine-tune deep learning models for See and Spray
• Use weak supervision methods for data cleaning, enrichment, and selection to build high-quality datasets for training CVML models
• Perform model selection and model evaluation; summarize findings into model release notes
• Perform error analysis on trained models; plan data collection and dataset updates for continual model improvement
• Create and maintain dashboards and visualizations to communicate data-driven insights effectively

This role creates intelligent machinery that solves monumental problems for customers including farmers, construction crews, and foresters, empowering them to implement safer and more sustainable solutions that drive increased profitability with less reliance on scarce labor.

Required skills and qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
• 4+ years of experience in Python or R for data analysis, statistics, and machine learning tasks
• Familiarity with PyTorch (preferred) or TensorFlow
• Proficient in creating dashboards and visualizations and skilled at telling a compelling story from the data

The US annual base salary range for this position is $133,000 - $238,000, along with eligibility for Blue River's bonus and benefit programs. The organization is passionate about creating an inclusive workplace that promotes and values diversity, investing in programs including recruiting, mentorship, career development, and learning & development to support Diversity, Equity, and Inclusion goals.

Blue River Technology is a team of innovators driven to create intelligent machinery that solves monumental problems for customers. They align with John Deere's vision to 'innovate on behalf of humanity' by identifying and solving high-value challenges in AI, machine learning, computer vision, and robotics, building new products and platforms that create value for both Deere and its customers.