Computer Vision Machine Learning Engineer, Blue River Technology

• Bachelor’s or Master’s Degree in Computer Science or a related field, graduate degree preferred
• 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

Desirable

• We are looking for a highly skilled and innovative Computer Vision Machine Learning Engineer to join the team responsible for building the perception stack for Blue River Technology's autonomous tractor initiative
• You will be responsible for working on the development of CVML models, training and testing pipelines to enhance system safety and performance in challenging production environments
• This role will range from developing initial prototypes to scaling for production
• We’re looking for a motivated and collaborative individual to help build the future of autonomous agriculture
• A combination, not necessarily all-inclusive, of the following:
• Implementing deep-learning-based classification systems for identifying, characterizing, and classifying various farm-related objects using images and videos
• Exploring and developing new methods for improving detection performance and increasing the speed of processing
• Working with the Software team to transition processing from desktop/server-class machines to real-time, field robotic systems
• Work with systems software engineers to help architect and develop data processing and annotation pipelines for continuous system monitoring and improvement