Overstory is hiring a Staff Machine Learning Engineer to lead the development and scaling of our Wildfire Fuel Detection Model. This role shapes how we understand vegetation structure, fuel loads, and wildfire risk by combining advanced ML techniques with large-scale geospatial and environmental data.
What You'll Do
- 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 to keep our wildfire fuelscape models state-of-the-art and maintainable.
- Collaborate with MLOps peers to streamline training, inference, and monitoring in production environments.
What We're Looking For
- 10+ years of experience designing and building production-grade ML pipelines and systems (or 6+ for a strong candidate).
- 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.
- Based in ET → PT time zones.
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.
Technical Stack
- PyTorch, TensorFlow, XGBoost, LightGBM
- Dask, Spark, GeoPandas
- GCP, Vertex AI
Team & Environment
You'll work closely with data scientists, ML engineers, and product teams within an organization of 85 people.
Benefits & Compensation
- Flexible working environment with a lot of autonomy.
- Remote working budget.
- Educational budget.
- Time to develop new skills.
- Equity.
Work Mode
This role is open to candidates located in the United States, Canada, Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Denmark, or Switzerland.
Overstory is an equal opportunity employer.
