Staff Machine Learning Engineer – Wildfire

🕒 vor 9 Monaten

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Overstory

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11 - 50 Mitarbeiter

🤖 Künstliche Intelligenz

⚡ Energie

☁️ SaaS

Artificial Intelligence • Energy • SaaS

Overstory ist ein Unternehmen, das umsetzbare Vegetationsinformationen für Versorgungsunternehmen bereitstellt, um ein sichereres und zuverlässigeres Energiemanagement zu ermöglichen. Ihre Software hilft Versorgungsunternehmen dabei, Ressourcen zu optimieren, Vegetationsrisiken zu mindern und ihre Betriebsprogramme zukunftssicher zu gestalten, indem sie datengesteuerte, intelligentere Infrastrukturmanagement ermöglicht. Overstory nutzt fortschrittliche Technologie und Analytik, um beim Vegetationsmanagement zu unterstützen, ein wesentlicher Faktor bei Stromausfällen und Waldbränden. Sie arbeiten mit Versorgungsunternehmen zusammen, um Lösungen zu entwickeln, die sich nahtlos in bestehende Arbeitsabläufe integrieren lassen.

Beschreibung

• 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.

🎯 Anforderungen

• You thrive at the intersection of machine learning, geospatial data, and environmental science, and are motivated by the opportunity to reduce wildfire risk through data-driven insights. • You love working in a remote-first, fast-moving environment where collaboration and adaptability are essential. • 10+ years of experience designing and building production-grade ML pipelines and systems – but don’t filter yourself out if you feel you’re a strong candidate with 6+ years. • 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. • You are based in ET → PT time zones.

🏖️ Vorteile

• To be part of truly mission-driven work that reduces wildfires, protects Earth’s natural resources, and helps solve our climate crisis. • Flexible working environment with a lot of autonomy. We build our work days around our lives, not the other way around. • Other benefits like a remote working budget, an educational budget, and time to develop new skills. • To be surrounded by an excellent, vibrant, smart team who have each other's back and believe in a culture of openness, tolerance, and respect. • Equity and a competitive salary.