Machine Learning Engineer

Treeswift(1 month ago)

HybridFull TimeSenior$177,188 - $236,149 (estimated)Engineering

About this role

A Machine Learning Engineer at Treeswift is responsible for developing and deploying advanced machine learning models to enhance the efficiency and accuracy of field work for energy infrastructure. This role focuses on creating algorithms for LiDAR point clouds and image data to classify landscapes and assess vegetation attributes, while ensuring effective model performance and scalability. The position involves collaboration with cross-functional teams and requires a strong background in commercial machine learning model development, including data curation and deep learning frameworks like PyTorch or TensorFlow.

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Required Skills

Machine Learning Development
Model Training
Model Deployment
Segmentation
Object Detection
Point Cloud Data
Image Processing
Data Curation
Data Cleaning
Python Programming

+13 more

About Treeswift

www.treeswift.com

Treeswift is a technology company that leverages artificial intelligence, LiDAR, and robotics to provide high-resolution vegetation intelligence for utility companies. Their innovative solutions are designed to optimize wildfire prevention, enhance grid reliability, and streamline asset management through data-driven insights. By integrating advanced data solutions into utility operations, Treeswift empowers organizations to manage vegetation effectively while promoting sustainable practices.