Remote Senior Machine Learning Engineer

Summary

Join Blue Ridge Technology as a Senior Computer Vision Engineer and contribute to the development of cutting-edge models and algorithms for object detection and localization. Conduct research, develop tools, and work with large-scale data processing systems.

Requirements

• Master’s degree in Computer Science, Information Science, Robotic Systems, or related field
• 2 years of related experience
• Required skills: Develop Computer Vision (CV), Machine-Learning (ML), and Deep-Learning (DL) models using images and other sensor data to detect and recognize objects (2 years)
• Conduct research on state-of-the-art methods to improve and optimize the performance of CV, ML, and DL algorithms and models to meet high product quality and real-time compute requirements using large-scale server class machines (2 years)
• Develop models and algorithms for accurately localizing objects in real-world environments using geometric computer vision and depth perception techniques (any amount of experience acceptable)
• Use cloud service providers like Amazon Web Services (AWS) and various database management systems to develop tools and pipelines for large-scale data processing and analysis to improve product performance (2 years)

Responsibilities

• Develop Computer Vision (CV), Machine-Learning (ML), and Deep-Learning (DL) models using images and other sensor data to detect and recognize objects
• Conduct research on state-of-the-art methods to improve and optimize the performance of CV, ML, and DL algorithms and models to meet high product quality and real-time compute requirements using large-scale server-class machines
• Develop models and algorithms for accurately localizing objects in real-world environments using geometric computer vision and depth perception techniques
• Use cloud service providers like Amazon Web Services (AWS) and various database management systems to develop tools and pipelines for large-scale data processing and analysis to improve product performance

Benefits

5% domestic travel; may work remotely; periodic time in the office required; must live within commuting distance of the office