Research Engineer - Computer Vision

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.