About the Role
The role involves designing, training, and deploying machine learning models that process geospatial data to identify wildfire threats. The engineer will optimize model performance, improve data pipelines, and ensure robust integration into operational systems.
Responsibilities
- Lead the design and implementation of machine learning systems for wildfire detection
- Develop models using satellite and sensor data to assess fire risk
- Optimize deep learning pipelines for accuracy and computational efficiency
- Collaborate with research scientists to translate prototypes into production code
- Monitor model performance and implement updates based on new data
- Work with geospatial data at scale from multiple satellite sources
- Improve data labeling processes for training wildfire detection models
- Ensure models are robust across diverse environmental conditions
- Integrate machine learning outputs into customer-facing applications
- Contribute to model documentation and version control practices
- Evaluate new data sources for potential integration into existing systems
- Support the deployment of models in cloud-based environments
- Participate in code reviews and maintain high software standards
- Troubleshoot issues in data pipelines and inference systems
- Collaborate with product teams to define model requirements
- Design experiments to validate model improvements
- Maintain awareness of advancements in remote sensing and fire science
- Ensure compliance with data usage and privacy standards
- Mentor junior engineers on machine learning best practices
- Contribute to architectural decisions for scalable AI systems
- Assist in defining metrics for model success and operational impact
- Work with cross-functional teams to align technical progress with business goals
- Support incident response related to model performance degradation
- Develop tools for visualizing model outputs and fire risk predictions
- Promote reproducibility and testing in the ML development lifecycle
Compensation
Competitive salary and equity package
Work Arrangement
Remote-friendly with flexible hours
Team
Part of a focused technical team building AI-driven environmental solutions
About the Role
This position is central to advancing wildfire detection technology using artificial intelligence. The engineer will work on models that analyze satellite data to identify early signs of fire and assess risk across regions. The role combines research, engineering, and product development to deliver actionable insights.
Impact
The models developed will be used by organizations to prevent fire spread, allocate resources, and protect ecosystems. Success in this role contributes directly to reducing environmental damage and improving community safety.
Available for qualified candidates
