Internship: Machine Learning (m/f/x)

This 4-6 months internship position is part of osapiens Terra, a specialized team in Munich integrating remote sensing data and artificial intelligence algorithms in sustainability software solutions. We build enterprise software for deforestation free supply chains. Our SaaS solution ensures compliance with the EU Deforestation Regulation (EUDR) which affects thousands of European companies and their suppliers.

For this, we track the supply chain end-to-end, from farmer to retailer, while leveraging satellite data and AI to detect deforestation. Our algorithm combines several methods, from deep learning, to custom ML algorithms, and basic statistics. We carefully engineer our methodology to ensure generalization across geographies, robustness, and explainability.

We are looking for a Machine Learning Engineer to improve our algorithms, scale our architecture and optimize a production ML pipeline. You will... Design and implement geospatial analytics using state-of-the-art deep learning techniques and statistics Research cutting-edge methods from Computer Vision and Artificial Intelligence and apply them to remote sensing Engineer and operationalize prototype-stage methods to full-blown enterprise-grade production systems optimize and scale data and analytics pipelines Analyze, interpret, and monitor performance from production data analytics pipelines Current studies in engineering, mathematics, computer science or similar.

Programming skills in Python and proficiency with typical data engineering and deep learning frameworks, as well as familiarity with GIT and unix-based systems. ) is a plus A purpose-driven mission tackling complex sustainability challenges while working alongside global industry pioneers at a fast-growing unicorn company A high-impact internship with responsibility from day one and direct collaboration with experienced leaders. Hands-on project ownership and the chance to design processes that scale across our global customer base.

A modern Munich office with flexible hybrid work options, open team culture, and flat hierarchies. Regular team events and knowledge-sharing sessions. And of course – free drinks and snacks to keep you energized during your day.