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.

Your experiences and skills

Fit to our values

• We own every challenge: we enjoy complexity and thrive under uncertainty.

• We strive for better: we seize any opportunity for growth and challenge the status quo. We are constantly learning and improving.

• We imagine new frontiers: we think beyond “doable” and “reasonable”. We design a sustainable and healthy future together.

Data fluency

• You understand the importance of data quality and invest time in understanding, verifying, and cleaning data and annotations.

• You have a strong statistical and data analysis foundation, and have a good knowledge of the data analysis toolkit (numpy, pandas, OpenCV, scikit-learn, etc).

• You care about data visualization and create user-friendly illustrations to explain phenomena in the data.

Machine learning and coding

• You have experience in PyTorch and training machine learning models for computer vision.

• You have good knowledge of Python, version your code, and follow best practices like clean code.

• You have experience with experiment tracking tools and know how to compare experiments and select the best-performing models.

What makes you stand out from other candidates

• You know how to work with MRI data (including raw data) and its formats, and how to quantify image quality and artefacts.

• You worked with model deployment and the challenges of maintaining models in production.

• You have experience in the following areas: transfer learning, active learning, self-supervised learning.

We look for people to join us in our journey towards a culture focused on the following principles:

• System thinking: You are excited to work in a cross-functional team, learning the perspectives of multiple stakeholders and understanding the business value of all system components you work on.

• Quality Awareness: You understand the importance and champion best practices and testing to create clean code and datasets.

• Continuous Improvement: You wish to continuously improve in how to handle machine learning challenges in development and production.

• Impact: You are a builder who delivers the best internal and external products through iterative development, regular feedback, and a positive impact on the customers and the planet.

• Teamwork: You are enthusiastic about contributing to team projects and eager to learn from experienced team members through regular feedback, pull requests, pair programming, and knowledge sharing. 

What we offer

International Environment: Join a team with 40+ nationalities across 5 continents, all driven by a shared purpose: shedding light on the world’s toughest challenges.

Attractive Compensation Package:

• Visa & Relocation Support: Seamless support for your move to Germany.

• Learning & Development: €1,750 annual budget for personal growth.

• Fitness Membership: Access to Urban Sports Club or Wellpass.

• Childcare Reimbursement: Support for Kita/Kindergarten fees.

• Deutschland Ticket: Full coverage of public transportation.

Work-Life Integration:

• Flexible Hours & Home Office: Work when and where it suits you.

• 30 Days Paid Leave: Plenty of time to recharge.

• Personal Leave: Flexibility for life’s important moments.

• Work from Anywhere: Experience new cultures and environments for up to 60 days per year.

Make a Difference: Join an ambitious, fast-growing team working on breakthrough technology. In our scale-up environment, you’ll have the freedom to lead your projects and make an impact. We provide a platform for you to explore, innovate, and define your vision for the future. At Orbem, we’re committed to helping you discover your strengths, and while we aim to teach you, we also want to learn from you. 

Your team

As a Data Scientist (f/m/d), you become part of our diverse and international team. Learn more about the team members, their work, and challenges here: www.orbem.ai 

At Orbem, we're committed to building a smart, diverse team, and we recognize that self-doubt can prevent talented individuals from applying. If you feel you don't meet every requirement, we'd love to hear from you anyway!