Machine Learning Scientist – Wildfire

Job not on LinkedIn

🔥 20 hours ago

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Coulson Aviation

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1960

🚀 Aerospace

🚗 Transport

🏛️ Government

Aerospace • Transport • Government

Coulson Aviation is a privately owned family company founded in 1960 that operates a diverse fleet of fixed-wing and rotary-wing aircraft and specializes in aerial firefighting and aviation services. With over 650 employees, Coulson provides worldwide operations and support to governments across Australia, North America, South America, and Europe, positioning itself as a global leader in aerial firefighting.

📋 Description

• Own EmberWorks' fire behavior modeling effort from first integration to new methods • Evaluate existing fire behavior modeling approaches and select the right fit for available data • Build and implement models in an automated production pipeline using airborne thermal observations plus external fuel, weather, and terrain data • Research and develop new modeling approaches using empirical, physical, and machine learning methods as appropriate • Own model validation and interpretation by defining quality criteria, detecting bad outputs, and determining whether issues originate in the model or upstream data • Define compute requirements for training and inference • Work with the platform engineer to establish GPU and distributed computing resources and an efficient remote workflow • Maintain connections with the academic fire science community • Help EmberWorks engage with research partners • Shape modeling approaches, validation methods, and how outputs reach users

🎯 Requirements

• Deep understanding of fire behavior models such as ELMFIRE, WRF-SITE, and FSIM, including underlying physics and math • Hands-on experience building and training machine learning or data-driven models on spatiotemporal data • Strong remote sensing background, including raster imagery; thermal experience is a strong plus • Proficiency in scientific geospatial programming stack, such as Python, xarray, GDAL, rasterio, and PyTorch or similar • Familiarity with Git-based version control • Experience running model training on cloud compute, including GPU resources • Ability to work independently in a small R&D team and explain modeling decisions to engineers and operations staff • Bachelor's degree in fire science, atmospheric science, remote sensing, computer science, environmental science, or a related field • Proven experience delivering at least one wildfire project end to end, or sustained, in-depth support of an established wildfire product suite • Active ties to academic or government fire research groups • Experience with data assimilation or physics-informed ML • Knowledge of optics and radiometry, including thermal sensor calibration • Familiarity with wildland fire operations and the agencies and tools that support them • Advanced degree and research in a relevant field, or equivalent applied experience

🏖️ Benefits

• Founding position on a small team doing new work with unique airborne fire observation data • Work tested on active fires rather than only benchmark datasets • Direct access to leadership • Room to set technical direction