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Blackhornvc is hiring: Senior Computer Vision & Machine Learning Engineer in Pal

Blackhornvc, Palo Alto, CA, United States


Job Description
Buzz is revolutionizing the analytics and maintenance of power grid infrastructure through our advanced AI solutions. Our computer vision systems analyze critical infrastructure to enhance safety, reliability, and operational efficiency across the power grid network. We're seeking an experienced Machine Learning Engineer to help lead our computer vision initiatives. You'll drive the development of cutting-edge models for power grid analysis and provide a leadership anchor on a team of talented ML engineers.

Responsibilities

Architect and lead end-to-end computer vision projects focused on: Equipment defect detection, Thermal anomaly identification, Vegetation encroachment monitoring, Surveillance of closed areas for human and animal intrusions

Drive innovation by incorporating the latest advances in deep learning and generative AI to enhance model training, accuracy and reliability

Develop production-grade Python libraries for the complete ML lifecycle

Mentor team members and establish best practices for model development, evaluation, deployment, and monitoring

Advocate for and uphold software quality standards within the ML team

Qualifications & Experience

7-10 years of industry experience in computer vision and machine learning

Deep expertise in modern computer vision and deep neural networks including: Object detection, Semantic segmentation, Image classification, Similarity search, Vision language models

Proven track record of deploying and maintaining ML models in production

Expert proficiency in PyTorch, Lightning, OpenCV, and Scikit-Learn

Proficiency in FastAPI and Pydantic

Strong software engineering foundation including: Git version control, Test driven development (Pytest), CI/CD, ML devops, Python type hinting

2-3 years of proven leadership experience of technical teams

Desired Additional Experience

Multi-modal computer vision

Custom object detection model development

Generative models for data augmentation

ML deployment on edge devices

Extracting measurements from GIS and/or drone metadata enriched imagery

Model quantization

Systematic hyperparameter tuning

Additional information

This position does not include sponsorship for United States work authorization.

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