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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Machine Learning Engineer - Wildfire - **Company:** OVERSTORY, INC. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, Artificial Intelligence, Data Analysis, Computer Vision, Cloud Computing, Data Transformation, Machine Learning, Tensorflow, Azure Machine Learning, Data Ingestion, Pytorch, Apache Spark, Deep Learning, Model Validation, Xgboost, Dask, Machine Learning Operations - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/staff-machine-learning-engineer-wildfire-overstory-7412597 ## About the Role * Experience thriving at the intersection of machine learning, geospatial data, and environmental science; deeply motivated by the opportunity to reduce wildfire risk through data-driven insights * 10+ years of experience designing and building production-grade ML pipelines and systems * You have a background in wildfire science, forestry, or remote sensing * Strong background in deep learning, computer vision, or remote sensing * Skilled in designing end-to-end ML systems - from data ingestion and preprocessing to deployment and monitoring * Hands-on experience with frameworks like PyTorch, TensorFlow, XGBoost, or LightGBM, and data tools like Dask, Spark, or GeoPandas * Familiarity with GCP and Vertex AI, or similar cloud-based ML platforms * Strong communication skills and ability to collaborate across technical and scientific domains * Comfortable leading architectural discussions and mentoring other engineers Nice To Have * Background in wildfire science, forestry, or remote sensing * Experience integrating physics-based models with ML or working with active learning and uncertainty quantification * Experience in model interpretability and data provenance for environmental ML systems * Experience with deep learning models for weather or climate data * Experience in remote-first or globally distributed teams Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description. ## Description Reporting to our VP of Product Engineering, you'll work closely with data scientists, ML engineers, and product teams to ensure our wildfire models are accurate, robust, and production-ready - balancing scientific rigor with practical engineering excellence. As a senior technical leader, you'll mentor other engineers, drive architectural decisions, and define standards for modeling, experimentation, and deployment across Overstory., * Architect and build advanced ML models to map and predict vegetation and fuel conditions across diverse geographies. * Design and maintain robust data and feature pipelines for large-scale geospatial and temporal data. * Partner with wildfire science and product teams to define modeling objectives and evaluation metrics tied to real-world impact. * Build reproducible experimentation frameworks and model evaluation workflows. * Scale models from research to production with a focus on performance, reliability, and explainability. * Lead the evolution of ML systems, tooling, and processes - ensuring that our wildfire fuelscape models remain state-of-the-art and maintainable. * Collaborate with MLOps peers to streamline training, inference, and monitoring in production environments., We sometimes use AI tools to support parts of our hiring process, such as helping us manage applications more efficiently or ensuring job descriptions are clear and inclusive. All hiring decisions are always made by people, not machines. Any data processed by AI is handled securely in line with GDPR and our Privacy Notice. ## Related Videos - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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