Note: The job is a remote job and is open to candidates in USA. Blue River Technology develops intelligent machinery and autonomous solutions for agriculture, construction, and forestry. The Machine Learning Engineer will build computer vision and machine learning models and training pipelines for the perception stack of autonomous tractors, taking solutions from prototyping through production deployment while improving safety and performance.

Responsibilities

• Design, develop, and optimize CVML models and training pipelines for perception tasks including segmentation and depth estimation, with a focus on safety and performance in challenging production environments
• Own the full ML development lifecycle: from initial prototyping through to production-scale deployment on edge and cloud systems
• Collaborate closely with cross-functional engineering teams to integrate perception models into BRT's autonomous tractor initiative
• Evaluate and improve model performance through rigorous implementation, testing, and analysis of metrics across large-scale datasets
• Contribute to advancing autonomous agriculture by applying cutting-edge machine learning and computer vision techniques to real-world farming challenges

Skills

• 2 years of experience developing high-performance ML systems, training and optimizing DNNs for segmentation, depth, and related perception tasks with large-scale datasets
• Strong Python + PyTorch/TensorFlow skills
• Solid grasp of vision + deep learning fundamentals
• Strong communication skills to work closely with interdisciplinary teams to integrate models into edge and cloud systems
• Bachelor's or Master's Degree in Computer Science or a related field, graduate degree preferred
• Experience in building and deploying full-stack ML pipelines, from data ingestion to model training, testing, and deployment
• Edge deployment or real-time optimization know-how
• Experience in working with CVML & Robotics projects
• Experience with multi-view geometry or SLAM
• Experience in the vehicle autonomy space
• Experience in metrics implementation, analysis, and dashboarding
• Knowledge of robotics libraries such as ROS / ROS2

Benefits

• Annual performance bonus
• Competitive benefit package
• Recruiting, mentorship, career development, and learning & development programs supporting Diversity, Equity, and Inclusion goals
• Remote in the United States

Company Overview

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