Senior/Lead Computer Vision Engineer
Our Take
Develop AI-powered medical imaging solutions for complex clinical workflows at Spyrosoft.
What you’ll do
- Develop deep learning and geometry algorithms
- Build 3D segmentation/modeling pipelines
- Design and train deep learning models
- Collaborate with Product and Engineering
- Ensure compliance with medical standards
- Improve algorithm accuracy and efficiency
What they’re looking for
- 3+ years deep learning & computational geometry
- Strong Python development skills
- Medical image analysis background
- Experience with 3D data processing
- NumPy, SciPy, PyTorch experience
- Algorithm optimization & validation
- Cross-functional team collaboration
Skills & Focus Areas
- deep learning
- computational geometry
- Python
- NumPy
- SciPy
- PyTorch
- algorithm optimization
- 3D data processing
As posted by Spyrosoft
Project description:
We are looking for a Senior Computer Vision Engineer to join a team developing advanced AI-powered healthcare solutions. In this role, you will work on algorithms combining deep learning, computational geometry, and medical imaging for a cloud-based platform supporting complex clinical workflows. You will contribute to the development of innovative solutions for 3D image analysis, modeling, and measurement, collaborating closely with Engineering, Product, and domain experts to deliver robust and scalable software components.
The projects start: August 2026
Main responsibilities:
Develop algorithms combining deep learning, computational geometry, and medical imaging
Build and optimize 3D segmentation, modeling, and measurement pipelines for clinically relevant workflows
Design, train, and validate deep learning models and geometry-based methods for integration into a cloud-based healthcare platform
Collaborate with Product and Engineering teams to translate clinical and business needs into robust algorithm designs
Work with Clinical, Regulatory, and Quality teams to ensure compliance with medical software development standards
Continuously improve algorithm accuracy, robustness, and computational efficiency
Contribute to research activities and exploration of new methods in AI and medical imaging
Requirements:
At least 3 years of experience developing deep learning models and computational geometry algorithms
Experience deriving measurements and features from 3D segmentations
Strong software development skills, especially in Python
Background in medical image analysis (CT, MRI, ultrasound, or similar modalities)
Experience with 3D data processing, mesh handling, and geometric feature extraction
Hands-on experience with frameworks and libraries such as NumPy, SciPy, and PyTorch
Solid understanding of algorithm optimization, numerical stability, and rigorous validation methodologies
Ability to work effectively in cross-functional teams
Strong communication skills and proactive approach
Nice to have:
Experience with TypeScript
Familiarity with AWS-based cloud environments and products
Experience with VTK or similar 3D visualization and processing frameworks
Understanding of medical software development processes and standards
Research background or interest in advanced AI and imaging methods