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(Senior) Software Engineer Deep Learning and Algorithms(m/w/x)
Developing deep learning algorithms for medical imaging and 3D segmentation pipelines. At least 3 years of deep learning and computational geometry experience required. Company bike, employee stock purchase program.
Requirements
- MSc or PhD in Computer Science, Biomedical Engineering, Applied Mathematics, or related technical field
- At least 3 years developing deep learning models and computational geometry algorithms
- Strong software development skills in Python
- Experience with TypeScript
- Experience with AWS-based cloud products
- Background in medical image analysis (CT/MRI/echo)
- Experience with 3D data processing
- Experience with mesh handling
- Experience with geometric feature extraction
- Solid understanding of algorithm optimization
- Solid understanding of numerical stability
- Solid understanding of rigorous validation methodologies
- Experience collaborating with engineering, product, clinical, and quality teams
- Experience in medical or regulated environments
- Strong communication skills
- Structured problem-solving capabilities
- High sense of ownership
Tasks
- Develop algorithms for deep learning, computational geometry, and medical imaging
- Build and optimize 3D segmentation, modeling, and measurement pipelines
- Design, train, and validate DL models and geometry methods
- Collaborate with Product and Engineering teams to meet clinical needs
- Work with Clinical, Regulatory, and Quality teams to ensure compliance
- Improve algorithm accuracy, robustness, and computational efficiency
- Contribute to research and exploration of new methods
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- TypeScript
- AWS
Benefits
Retirement Plans
- Abbott Pension Plan
Company Bike
- Company bike
Competitive Pay
- Employee stock purchase program
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(Senior) Software Engineer Deep Learning and Algorithms(m/w/x)
Developing deep learning algorithms for medical imaging and 3D segmentation pipelines. At least 3 years of deep learning and computational geometry experience required. Company bike, employee stock purchase program.
Requirements
- MSc or PhD in Computer Science, Biomedical Engineering, Applied Mathematics, or related technical field
- At least 3 years developing deep learning models and computational geometry algorithms
- Strong software development skills in Python
- Experience with TypeScript
- Experience with AWS-based cloud products
- Background in medical image analysis (CT/MRI/echo)
- Experience with 3D data processing
- Experience with mesh handling
- Experience with geometric feature extraction
- Solid understanding of algorithm optimization
- Solid understanding of numerical stability
- Solid understanding of rigorous validation methodologies
- Experience collaborating with engineering, product, clinical, and quality teams
- Experience in medical or regulated environments
- Strong communication skills
- Structured problem-solving capabilities
- High sense of ownership
Tasks
- Develop algorithms for deep learning, computational geometry, and medical imaging
- Build and optimize 3D segmentation, modeling, and measurement pipelines
- Design, train, and validate DL models and geometry methods
- Collaborate with Product and Engineering teams to meet clinical needs
- Work with Clinical, Regulatory, and Quality teams to ensure compliance
- Improve algorithm accuracy, robustness, and computational efficiency
- Contribute to research and exploration of new methods
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- TypeScript
- AWS
Benefits
Retirement Plans
- Abbott Pension Plan
Company Bike
- Company bike
Competitive Pay
- Employee stock purchase program
About the Company
Abbott
Industry
Healthcare
Description
Das Unternehmen ist ein weltweit führendes Unternehmen im Gesundheitswesen, das bahnbrechende wissenschaftliche Erkenntnisse nutzt und Lösungen zur Verbesserung der Gesundheit der Menschen entwickelt.
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