> Markdown version of [/jobs/ext/4351436-research-engineer-computer-vision](https://www.wearedevelopers.com/jobs/ext/4351436-research-engineer-computer-vision). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Research Engineer - Computer Vision - **Company:** Green Key Resources - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Computer Vision, Computer Programming, Software Debugging, Programming Tools, GIS Applications, Systems Analysis, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Machine Learning Operations, Data Pipelines, Raster Graphics - **Published:** October 23, 2026 - **Apply:** https://www.thejobnetwork.com/job/59144837-a9e6-4ebd-b525-06571014efc4/research-engineer-computer-vision ## About the Role * 7+ years of experience in machine learning, computer vision, or applied AI engineering. \n * Strong experience in computer vision model development and evaluation. \n * Experience working with satellite, aerial, or geospatial imagery (or similarly large-scale visual datasets). \n * Proven experience building ML evaluation harnesses or benchmarking systems. \n * Experience publishing experiment results to a centralized tracking system (e.g., Weights & Biases, MLflow, or similar). \n * Experience building internal developer tools, dashboards, or analysis systems. \n * Strong programming skills in Python and familiarity with common CV/ML frameworks (PyTorch, TensorFlow, etc.). \n * Experience designing metrics, ground truth schemas, and evaluation protocols for ML systems. \n, n \n * Experience in the geospatial or Earth observation industry. \n * Familiarity with remote sensing data formats and geospatial libraries (e.g., raster data pipelines, GIS tools). \n * Experience working with large-scale imagery datasets (terabytes to petabytes). \n * Experience evaluating foundation models or multimodal vision models. \n * Familiarity with Weights & Biases (W&B) or similar experiment management platforms. \n * Experience designing model debugging or annotation review interfaces. \n * Experience working in research-oriented ML teams.