Cvml engineer, see & spray

• 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

• 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

• Prior experience or coursework in CVML projects or research
• Understanding of data modeling and database design principles
• Familiarity with cloud environments such as AWS and Databricks

eligibility for Blue River’s bonus and benefit programs