# ML Engineer at Vibrant Planet

- Company: Vibrant Planet
- What the company does: Vibrant Planet provides land management services and technology solutions to accelerate land restorations. Backed by Energy Excelerator.
- Company website: https://vibrantplanet.net
- Type: Startups (AI role)
- Level: Mid level
- Location: Remote USA
- Work setup: Remote
- Pay: $100K to $200K base salary per year (USD)
- Posted: 2026-09-09
- Apply by: 2026-10-24
- Apply: https://jobs.ashbyhq.com/Vibrant%20Planet/2677f742-7e8b-43ab-942c-835fb0ee9384
- Page: https://www.1752.vc/careers/jobs/vibrant-planet-ml-engineer/

## About the role

Vibrant Planet ( https://www.vibrantplanet.net/ ) harnesses data-driven science and cloud-based technology to help make communities and ecosystems more resilient in the face of global change. Our ML Engineering team sits at the intersection of machine learning, remote sensing, and forest ecology—building the models, pipelines, and data products that power our Land Tender decision-support platform.

## What they're looking for

- • M.S. in Computer Science, Machine Learning, Remote Sensing, Data Science, Ecology, or a related quantitative field (or equivalent work experience)
- • 3+ years of experience developing, training, and deploying deep learning models (PyTorch preferred)
- • Strong Python proficiency including data science stack (NumPy, pandas, xarray, scikit-learn)
- • 3+ years of experience with geospatial data processing (rasterio, GDAL, geopandas, shapely)
- • Experience building and maintaining data pipelines with workflow orchestration tools (Airflow, Prefect, Dagster, or equivalent)
- • Proficiency with Git, GitHub, and collaborative software development practices (code review, CI/CD)

Tags: Engineering