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Staff Machine Learning Engineer - Wildfire

2 hours, 54 minutes ago
United States, Canada
Full-time
Lead
Machine Learning Engineer
Software Development
Apache Spark Computer Vision Deep Learning GCP LightGBM Machine Learning MLOps Python PyTorch TensorFlow Vertex AI XGBoost
Apply Now
Overstory

Overstory

Overstory uses AI and satellite imagery to prevent wildfires and power outages by analyzing vegetation for electric utilities.

Utilities
11-50
Founded 2018
$25M raised
View All Jobs 11

Description

  • Architect and build advanced machine learning 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 machine learning systems, tooling, and processes to keep models state-of-the-art and maintainable.
  • Collaborate with MLOps peers to streamline training, inference, and monitoring in production environments.
  • Mentor other engineers and drive architectural decisions and technical standards across the modeling stack.

Requirements

  • 10+ years of experience designing and building production-grade machine learning pipelines and systems, with 6+ years considered for strong candidates.
  • Strong background in deep learning, computer vision, or remote sensing.
  • Experience designing end-to-end ML systems from data ingestion and preprocessing through deployment and monitoring.
  • Hands-on experience with PyTorch, TensorFlow, XGBoost, or LightGBM.
  • Experience with 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.
  • Comfort leading architectural discussions and mentoring other engineers.
  • Based in the US or Canada.
  • Preferred: background in wildfire science, forestry, or remote sensing.
  • Preferred: experience integrating physics-based models with ML, or working with active learning and uncertainty quantification.
  • Preferred: experience with model interpretability and data provenance for environmental ML systems.
  • Preferred: experience with deep learning models for weather or climate data.
  • Preferred: experience in remote-first or globally distributed teams.
  • Time zone requirement: Eastern North America (NST, AST, EST).

Benefits

  • Competitive salary with equity.
  • Flexible working environment with significant autonomy.
  • Remote working budget.
  • Educational budget and time to develop new skills.
  • Mission-driven work focused on reducing wildfires and supporting climate resilience.
  • Vibrant, collaborative team culture with openness, tolerance, and respect.
  • Occasional in-person collaboration opportunities and an annual team gathering.

Interested in this position?

Apply directly on the company website

Apply Now

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