Data Scientist, Computer Vision (f/m/d)

Orbem is an impact-driven deep-tech scaleup from Munich, Germany. We develop fast, accurate, and accessible imaging solutions that provide access to otherwise unattainable sources of knowledge.

We seek to make a difference – and develop solutions to sustainably feed the world, accelerate the transition to a green economy, and transform disease detection.

Join us on our mission to unleash AI-powered imaging for everything and everyone.

Data Scientist (Computer Vision) (f/m/d)

• Start date: as soon as possible

• Yearly Salary: €60,000 - €65,000 (fixed range, annual gross)

• Equity: €10,000 - €30,000 in company shares

• Benefits: Up to €5,000 annually

• Work model: Full-time, hybrid (based in Munich)

Your role

As a Data Scientist at Orbem, you’ll be at the core of building the “mind” behind our AI-powered industrial MRI sensors. 

You’ll design and apply advanced machine learning methods to automatically analyze complex MRI data and deliver accurate, actionable predictions at scale. The insights you uncover will directly shape product development, drive data-informed decisions across teams, and contribute to a more sustainable and healthy future. By combining your passion for data with strong analytical skills, you’ll give intelligence to our MRI systems — transforming raw data into meaningful knowledge that powers breakthrough innovation.

Your responsibilities

In your daily activities, you will:

• Designing, training, and fine-tuning machine learning models, rigorously analyzing their performance to guide product development and deliver high-impact solutions.

• Expanding and curating our datasets, ensuring data quality through advanced visualization, development of image quality metrics, and thorough metadata analysis.

• Collaborating closely with MRI scientists, machine learning engineers, and fellow data scientists to define and implement effective machine learning strategies for complex MRI image analysis challenges.

• Visualizing data and conducting statistical analyses to generate actionable insights and enable data-driven decision-making across the organization.