Blue River Technology

Machine Learning Engineer

• Build the perception stack for Blue River Technology’s autonomous tractor initiative
• Develop CVML models and implement deep-learning-based classification systems for identifying, characterizing, and classifying various farm-related objects using images and videos
• Develop, train, test, and optimize DNNs for segmentation, depth, and related perception tasks with large-scale datasets
• Explore and develop methods to improve detection performance and increase processing speed
• Work with Software and Systems Software teams to transition processing from desktop/server-class machines to real-time, field robotic systems and integrate models into edge and cloud systems
• Architect and develop data processing and annotation pipelines for continuous system monitoring and improvement
• Take projects from initial prototypes to production-scale deployments, focusing on system safety and performance in challenging production environments

Machine Learning Engineer, Autonomy

Robotics

• Summary of See and Spray program and role at Blue River Technology.
• Design, develop, and optimize C++ software running on distributed, real-time robotics systems.
• Work across the entire software lifecycle, encompassing requirements, design, development, testing, code review, documentation, and deployment.
• Investigate and implement algorithms to enhance performance, efficiency, and reliability, including those utilizing GPU-accelerated processing.
• Collaborate with systems, perception, and controls engineers to integrate software with sensors, compute modules, and actuators.
• Debug complex interactions between hardware and software in real-world conditions.
• Participate in on-machine testing, including occasional travel to the field (e.g., Gilroy, CA), to experience the product in its intended use.
• Contribute to technical discussions, design reviews, and mentoring of junior engineers as your role grows.

Senior Software Engineer, Robotics Software

• Implement Data Centric AI practices for See & Spray within Blue River Technology.
• Interface with field operations, data platform, labeling services, and product management.
• Create and maintain dashboards and visualizations to communicate data-driven insights.
• Use weak supervision methods for data cleaning, enrichment, and selection.
• Perform model selection, evaluation, and summarize findings in model release notes.
• Perform error analysis and plan data collection and dataset updates for model improvement.
• Train and fine-tune deep learning models for See & Spray.
• Employment Type: Full-Time; Work Location: Remote in the United States; Visa sponsorship not available.

Machine Learning Engineer, Autonomy

Senior Software Engineer, Robotics Software

CVML Engineer