Blue River Technology-posted 8 days ago
$133,000 - $238,000/Yr
Full-time • Mid Level
Remote • Santa Clara, CA
251-500 employees

We’re Blue River, a team of innovators driven to create intelligent machinery that solves monumental problems for our customers. We empower our customers – farmers, construction crews, and foresters - to implement safer and more sustainable solutions, driving increased profitability with less reliance on scarce labor. We believe that focusing on the small stuff – pixel-by-pixel and task-by-task - leads to big gains. Blue River Technology aligns with John Deere’s vision to "innovate on behalf of humanity" by quickly identifying and solving high-value, high-uncertainty challenges in AI, machine learning, computer vision, and robotics. BRT acts as a research and development flywheel, building not only new products but also new platforms that reliably create value for both Deere and its customers. From fully autonomous machines to highly precise farming equipment, BRT and Deere are partnering to create technical breakthroughs in industries like agriculture and construction. Summary We are looking for a highly motivated individual to join our team in the role of CVML Engineer. This position supports the See & Spray CVML within Blue River Technology and interfaces with multiple groups within Blue River, including field operations, data platform, labeling services, and product management. Our ideal candidate (you!) will play a crucial role in implementing Data Centric AI practices for the See & Spray project. You have an analytical mind and take a data-driven approach to answering questions. You will play a crucial role in driving the success of our ML initiatives and enabling evidence-based decision-making within the team.

  • 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
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