Working Student-Machine Learning Engineer (m/w/d)

At osapiens, we are committed to empowering businesses economically while promoting human rights and establishing ecologically sustainable and responsible corporate governance as a global standard.

We support global enterprises in over 60 countries in integrating sustainability and positioning themselves for the future. To achieve this, we develop comprehensive SaaS solutions that create transparency and sustainable growth across the entire value chain, meet ESG requirements, and automate manual processes.This 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 or completed 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.
• Track record of solving quantitative problems with algorithms and data
• Experience in working with geospatial data (e.g., multi-spectral satellite imagery, geojsons, tif formats, etc.) is a plus

• A purpose-driven mission tackling complex sustainability challenges whilst working alongside global industry pioneers
• Room for creativity through collaborative teamwork and an open communication culture
• Flexibility and team bonding with our hybrid work options
• Fuel for your growth journey, both personally and professionally
• Fun team events and outings with our global teams
• Inspiring HQ in Mannheim with 9 global offices
• If you're based in or visiting Mannheim, you can also benefit from our sustainable subsidised lunch options