Research Engineer – Machine Learning & Medical Imaging arbeitnow Imfusion Munich · 10/10/2026

Primetime; München; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

Primetime is hiring a Research Engineer to develop machine learning solutions for challenging medical imaging applications and to turn research ideas into robust software. You will contribute across the full ML workflow—from problem understanding and data handling to developing, evaluating, and integrating models.

The role suits someone with a strong research mindset, programming interest, and motivation to apply technology to meaningful healthcare challenges.

Qualifications

• PhD (or MSc with industry experience) in a related field and strong software engineering interest.

Responsibilities

• Develop and evaluate ML solutions for medical imaging.
• Contribute to customer projects by understanding technical/clinical challenges.
• Translate research ideas into robust, reusable software.
• Work across data prep, model development, validation, and integration.
• Communicate results clearly to stakeholders.

Skills

Machine learning workflows

Medical imaging

Python programming

Communication

Teamwork

English proficiency

Proactive problem solving

Education

PhD

Tools

Python

C++

Job description

As a Research Engineer, you will develop machine learning solutions for challenging medical imaging applications and help turn research ideas into robust, working software. You will contribute across the full machine learning workflow: from understanding the problem and working with medical imaging data to developing, evaluating, and integrating models.

This role is ideal for someone who combines a strong research mindset with an interest in programming and engineering and who is motivated by applying technology to meaningful healthcare challenges.

Type: Onsite

Your mission

As a Research Engineer, you will develop machine learning solutions for challenging medical imaging applications and help turn research ideas into robust, working software. You will contribute across the full machine learning workflow: from understanding the problem and working with medical imaging data to developing, evaluating, and integrating models.

This role is ideal for someone who combines a strong research mindset with an interest in programming and engineering and who is motivated by applying technology to meaningful healthcare challenges.

Your Responsibilities

• Develop and evaluate machine learning solutions for medical imaging applications.
• Contribute to customer projects by understanding and solving their technical and clinical challenges.
• Translate research ideas and prototypes into robust, reusable and well crafted software solutions.
• Work across the full machine learning workflow, including data preparation, model development, validation, and integration.
• Communicate results and technical concepts clearly to internal and external stakeholders.

Your profile

Must-haves

• PhD (or MSc degree with industry experience) in a related field, combined with a strong interest in software engineering
• Strong machine learning skills and a solid understanding of the full machine learning workflow
• Experience working with medical imaging data and applications
• Good programming skills in Python
• Experience with or willingness to learn C++ A motivated, proactive, team player and solution-oriented working style
• Strong communication skills and an interest in collaborating with customers
• Very good English skills

Nice-to-haves

• Experience translating research prototypes into robust software
• Experience working in customer-facing or interdisciplinary projects

We are hiring across the European Union. While this role can be performed remotely, being based in or around Munich and interested in regularly joining us in the office would be an advantage.

Why us?

• Work on cutting-edge machine learning and medical imaging technologies with a direct impact on healthcare
• Exciting projects combining applied research, software engineering, and real-world applications
• Continuous learning and development, including conferences and professional training
• Flexible working options within the EU and regular opportunities to connect with the team in Munich
• Plenty of ownership and room to contribute your own ideas
• An international, collaborative team with a strong focus on knowledge sharing

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