Machine Learning Engineer

Job Summary

To enhance power grid analysis, the remote Machine Learning Engineer will focus on building foundational model capabilities in computer vision, adapting algorithms from research, and delivering end-to-end projects such as equipment defect detection and thermal anomaly identification.

Key responsibilities

• Stay current with ML/CV research, evaluating methods for applicability to power grid analysis
• Own and deliver end-to-end computer vision projects, including defect detection and vegetation monitoring
• Design and implement data pipelines and model serving pipelines that meet performance requirements

Required qualifications

• 2-4 years of industry experience in computer vision and machine learning
• Solid understanding of modern computer vision techniques, including object detection and image classification
• Experience adapting published methods to specific use cases and validating against baselines
• Proficiency in Python and core ML libraries such as PyTorch, OpenCV, and Scikit-Learn
• Strong software engineering practices, including Git version control and CI/CD pipelines