Algorithm Engineer – Student Position (60%)

Algorithm Engineer – Student Position (60%) – Digital Health Sector

Position Overview:

We are seeking a motivated and talented Algorithm Engineer Student to join our team and contribute to the development and implementation of cutting-edge computer vision algorithms a startup in the field of minimally invasive endovascular decision support.

This is a 60% student position (3 days per week), offering a unique opportunity to gain hands-on experience as part of a world-class computer vision team. The selected student will actively contribute to research, development, and deployment of innovative AI-driven solutions for real-time clinical decision-making.

Location: Ramat-Gan

Key Responsibilities:

Hands-On Research and Development:

• Design, develop, and optimize computer vision algorithms for real-time imaging and analytics tailored to endovascular decision support.
• Conduct experiments, fine-tune models, and analyze results to ensure robustness and accuracy in clinical environments.
• Collaborate with data engineers to build pipelines for processing and managing medical imaging datasets, including X-ray, CT and fluoroscopy.

Product Development and Deployment:

• Collaborate with product & software teams to understand clinician needs and implement suitable solutions.
• Establish metrics and benchmarks to evaluate model performance in clinical environments.

Ground Truth Development & Performance Validation:

• Design and implement ground truth methodologies, including annotation protocols and validation strategies, in collaboration with clinical stakeholders.
• Develop and refine ground truth markings for medical imaging datasets to support supervised learning and performance benchmarking.
• Build and maintain internal tools for algorithm performance testing, validation, and robustness analysis in real-world clinical scenarios.
• Contribute to the continuous improvement of evaluation pipelines to ensure regulatory-grade documentation and reproducibility.

Requirements:

• Student for a master's degree or higher in electrical engineering, computer science or a relevant scientific degree.
• Proven experience in Computer Vision (from research, projects, or coursework).
• Hands-on experience with deep learning frameworks such as PyTorch.
• Solid knowledge in Python.
• Strong theoretical and practical understanding of deep learning, particularly for computer vision tasks.
• Strong mathematical skills and analytical thinking.
• Availability to work approximately 3 days per week (60% position) – on-site in Ramat-Gan.
• Research in related fields – advantage
• Background in Medical image processing - advantage

Why Join us?

We are at the forefront of innovation in minimally invasive endovascular decision support. This student role offers a unique opportunity to combine hands-on technical work with meaningful real-world impact, contributing to cutting-edge technologies that enhance precision and safety during critical medical procedures. Join us in transforming the landscape of digital health, advancing patient outcomes, and redefining what’s possible in minimally invasive care.