ML/DS Engineer

At Historica https://www.historica.org/, we’re building an interactive application that lets users explore history through a dynamic, AI-enhanced map interface. Our mission is to make history accessible, visual, and engaging — from tracking political empires and religious shifts to mapping the spread of epidemics. We’re looking for a Machine Learning / Data Science Engineer (Junior–Middle level) who can help us turn complex historical datasets into meaningful, navigable map visualizations.

What You’ll Do

• Use an established script pipeline to collect historical data and build thematic maps (e.g., political borders, cultural zones).

• Optimize and refine this pipeline — experiment with parameters, improve efficiency, and enhance the accuracy of outputs.

• Manually inspect and verify historical map outputs; identify inconsistencies and edge cases.

• Filter and catalog problematic or low-quality data for future analysis.

• Monitor data collection and map processing servers (Linux-based).

•  Research and implement performance improvements for key algorithms — especially AlphaShape and related geometry operations.

What We’re Looking For

• Python (Junior-Middle level): scripting, working with Jupyter Notebooks, manipulating polygons and geometric data.

• Basic experience with Large Language Models (LLMs) and understanding of how to apply them.

• Familiarity with Linux environments: terminal operations, SSH, screen, memory usage monitoring.

• Strong logical reasoning and spatial thinking.

• General knowledge of world history and ability to research and verify historical context quickly. (You don’t need to list every Roman emperor, but you should know the difference between the Roman Empire and the Holy Roman Empire.)

• !! Fluent Russian and English

Nice to Have

• Experience with optimizing algorithms or memory-heavy computations.

• Background or deep interest in history, cartography, or geographic information systems (GIS).