Job
- Level
- Erfahren
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- München
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du Algorithmen für Deep Learning und geometrische Verarbeitung, um medizinische Bilddaten zu analysieren und präzise 3D-Segmentationen zur Planung kardialer Eingriffe zu erstellen.
Job Technologien
Deine Rolle im Team
- Develop algorithms combining deep learning, computational geometry, and medical imaging for heart.ai, our cloud-based software supporting cardiac interventions.
- Build and optimize 3D segmentation, modeling, and measurement pipelines for clinically relevant planning workflows.
- Design, train, and validate DL models and geometry methods for integration into the heart.ai platform.
- Collaborate with Product and Engineering teams to translate clinical needs into robust algorithm designs.
- Work with Clinical, Regulatory, and Quality teams to ensure compliance with medical device development standards.
- Continuously improve algorithm accuracy, robustness, and computational efficiency while contributing to research and exploration of new methods.
Unsere Erwartungen an dich
Qualifikationen
- MSc or PhD in Computer Science, Biomedical Engineering, Applied Mathematics, or a related technical field.
- Background in medical image analysis (CT/MRI/echo), including 3D data processing, mesh handling, and geometric feature extraction.
- Solid understanding of algorithm optimization, numerical stability, and rigorous validation methodologies.
- Strong communication skills, structured problem-solving capabilities, and a high sense of ownership.
Erfahrung
- At least 3 years of experience developing deep learning models and computational geometry algorithms, especially deriving measurements from 3D segmentations.
- Strong software development skills, particularly in Python, and ideally experience with TypeScript and AWS-based cloud products.
- Experience collaborating with engineering, product, clinical, and quality teams; ideally within medical or regulated environments.
Unser Angebot
- Career development with an international company where you can grow the career you dream of.
- An attractive benefits package (e.g. attractive Abbott Pension Plan, a company bike, employee stock purchase program).
- A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
- A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.
- A challenging position in a fast-growing crisis independent industry.
- To become part of a dynamic, highly educated, highly skilled, and motivated team.
- Flat hierarchies, open appreciative mentality, and efficient, constructive lines of communication.
- Multi-national environment, where we foster the development of our talents within the enterprise.
Benefits
Mehr Netto
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Abbott GmbH & Co. KG
Abbott ist ein weltweit führendes Unternehmen in der Gesundheitsbranche. Wir helfen Menschen, ein gesundes und erfülltes Leben zu führen. Durch die Entwicklung innovativer Behandlungsmöglichkeiten für Herz-Kreislauf-Erkrankungen verbessern wir stetig die Gesundheit von Menschen auf der ganzen Welt. Darüber hinaus bieten wir hochwertige Nahrungsprodukte für Menschen aller Altersgruppen an.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Gesundheitswesen, Soziales, Nahrungs-, Genussmittel
Software Engineer Deep Learning and Algorithms
- Ort
- München
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
