The Role
Six-month machine learning internship focused on training, evaluating, and deploying deep learning models for satellite imagery and deforestation detection. Responsibilities include implementing computer vision and remote sensing research, improving model robustness and explainability, scaling geospatial pipelines, and owning projects from data preparation through deployment. The role requires strong PyTorch and Python skills, research implementation ability, software engineering practices, and effective communication.
Summary Generated by Built In
This 6-month internship is part of osapiens Terra, a specialized team in Munich that combines remote sensing data and AI in sustainability software. 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. We track the supply chain end to end, from farmer to retailer, and use satellite data and deep learning to detect deforestation.
Our models run in production and are engineered to generalize across geographies, stay robust, and remain explainable. As an intern, you'll build and ship them with us.
Your Responsibilities
- Train, fine-tune, and evaluate deep learning models on satellite imagery using PyTorch
- Evaluate the performance of existing models and maps, find where they fail, and fix it
- Read and implement recent computer vision and remote sensing papers, and turn them into working code
- Take prototype methods to production-ready code that scales across large geospatial pipelines
- Own a project end to end: from data preparation and training through evaluation and deployment
- Write clean, efficient, tested, and well-documented code in a shared codebase
- Share ideas for new models and algorithms, and explain your work clearly to the team
Your Experience
- Late-stage Bachelor's or Master's student in Computer Science, Electrical Engineering, or a related field
- Strong foundation in machine learning concepts and algorithms
- Hands-on experience building and training deep learning models in PyTorch (projects, thesis, research, or prior internships)
- Solid Python engineering skills: you write maintainable code, use Git, and are comfortable on Unix-based systems
- Ability to read research papers and turn them into implementations
- Excellent English and communication skills
- You work independently, take ownership, and are just as comfortable in a team
- Curiosity and a drive to learn new things quickly
Nice to have:
- Computer vision research experience
- Experience with satellite imagery or geospatial data (multispectral imagery, GeoTIFFs, GeoJSON, rasterio/GDAL, etc.)
- Experience scaling training or inference (GPUs, distributed training, cloud environments)
Join us for this and more...
- A purpose-driven mission tackling complex sustainability challenges while working alongside global industry pioneers at a fast-growing unicorn company
- Real-world, unsolved problems in geospatial AI and remote sensing
- Hands-on experience across the full ML lifecycle: data, training, evaluation, and deployment
- Your work ships. If your model performs well enough, it goes into production and reaches 2,500+ customers
- A modern Munich office with flexible hybrid work options, open team culture, and flat hierarchies.
About
osapiens develops holistic Software-as-a-Service solutions that help global companies ensure transparency, efficiency, and trust across their entire value chain. Through its cloud platform, the osapiens HUB, the company leverages innovative technologies, including artificial intelligence, to strengthen businesses while promoting human rights, ecological responsibility, and sustainable corporate governance.Founded in 2018 and headquartered in Mannheim, Germany, osapiens works with around 2,500 companies in over 50 countries across industries such as consumer goods, automotive, fashion, pharmaceuticals, and medical products. The company is backed by Goldman Sachs and Decarbonization Partners, reinforcing its commitment to responsible, sustainable growth and has reached unicorn status in January 2026.
Skills Required
- Late-stage Bachelor's or Master's student in Computer Science, Electrical Engineering, or a related field
- Strong foundation in machine learning concepts and algorithms
- Hands-on experience building and training deep learning models with PyTorch
- Solid Python engineering skills
- Experience writing maintainable code and using Git
- Comfort working on Unix-based systems
- Ability to read research papers and implement them
- Excellent English and communication skills
- Ability to work independently, take ownership, and collaborate with a team
- Curiosity and ability to learn quickly
- Computer vision research experience
- Experience with satellite imagery or geospatial data
- Experience with multispectral imagery, GeoTIFFs, GeoJSON, rasterio, or GDAL
- Experience scaling training or inference with GPUs, distributed training, or cloud environments
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The Company
What We Do
osapiens develops holistic Software-as-a-Service (SaaS) solutions that help global companies ensure transparency, efficiency, and trust across their entire value chain. Through its cloud platform, the osapiens HUB, the company leverages innovative technologies, including artificial intelligence, to strengthen businesses while promoting human rights, ecological responsibility, and sustainable corporate governance. Headquartered in Mannheim, Germany, osapiens supports over 2,500 customers worldwide, from SMEs to global enterprises, in driving sustainable growth and regulatory compliance.
