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Research Engineer – Machine Learning & Medical Imaging

CompraTica Empleos

EMP:Technology
Munich
Tiempo Completo
Remoto
0 vistas

Descripción

Your missionAs 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 ResponsibilitiesDevelop 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 profileMust-havesPhD (or MSc degree with industry experience) in a related field, combined with a strong interest in software engineeringStrong machine learning.

Habilidades

and a solid understanding of the full machine learning workflowExperience working with medical imaging data and applicationsGood programming skills in PythonExperience with or willingness to learn C++A motivated, proactive, team player and solution-oriented working styleStrong communication skills and an interest in collaborating with customersVery good English skillsNice-to-havesExperience translating research prototypes into robust softwareExperience working in customer-facing or interdisciplinary projectsWe 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 learn.

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