Staff ML Engineer - Wildfire & Climate Tech (Remote)

Jobgether; United States; Remote; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive salary and equity opportunities

Flexible, remote-first work environment

Educational and professional development budget

Access to cutting-edge technology

Collaborative team culture

Contribute to wildfire risk reduction

Job summary

A leading technology firm in the United States is seeking a Staff Machine Learning Engineer - Wildfire to spearhead cutting-edge ML projects aimed at reducing wildfire risk. This role involves developing and scaling advanced ML models from research to production while collaborating with data science teams. Ideal candidates will have significant experience in machine learning engineering with expertise in deep learning and geospatial data. Competitive salary and flexible working conditions offered.

Qualifications

• 6+ years of experience in machine learning engineering, with preference for 10+ years in production-grade ML systems.
• Strong expertise in deep learning, computer vision, or remote sensing.

Responsibilities

• Architect, develop, and maintain ML models for vegetation mapping and wildfire fuel detection.
• Design and manage scalable data and feature pipelines for large-scale datasets.
• Collaborate with teams to define modeling goals and evaluation metrics.

Skills

Deep learning

Computer vision

Remote sensing

ML systems design

Data ingestion

Model deployment

Collaboration

Tools

PyTorch

TensorFlow

XGBoost

LightGBM

Dask

Spark

GeoPandas

Job description

A leading technology firm in the United States is seeking a Staff Machine Learning Engineer - Wildfire to spearhead cutting-edge ML projects aimed at reducing wildfire risk. This role involves developing and scaling advanced ML models from research to production while collaborating with data science teams. Ideal candidates will have significant experience in machine learning engineering with expertise in deep learning and geospatial data. Competitive salary and flexible working conditions offered.