Вакансии: AI & Machine Learning

Join a deep-tech team developing a computational medical imaging platform. Build imaging algorithms from mathematical models and prototypes through laboratory validation, optimization, and product integration. The role is hybrid, based in Givatayim, Israel, with two days per week working from home.

Develop and deploy localization algorithms for a hardware-free indoor navigation product, taking work from research and prototyping through validation and production.

Develop quantum and hybrid quantum–classical approaches to analyze clinical and biological data and uncover patterns with potential clinical relevance. This is a full-time, hybrid or flexible role in Israel.

Lead the AI and Algorithms team developing machine learning models and methods for clinical trial simulation, prediction, and optimization. Set scientific direction and guide work from research through production, collaborating across clinical, data, product, and engineering teams. The team works in

Lead the company’s AI strategy and hands-on implementation across business functions. Initially an individual contributor working with the CEO and management team, the role will later build and lead a small team as AI capabilities grow across e-commerce and retail operations.

Join an active research group developing original work in quantization, model compression and efficient AI, with opportunities to publish and bring research into practical use.

Volunteer role developing AI models that combine text, images, speech and other modalities. The opportunity is unpaid and does not guarantee future employment or compensation; any future paid appointment would require funding, approval and a separate written agreement.

Develop research-driven machine learning models and predictive systems for clinical outcomes, treatment effects, and patient trajectories. Turn advanced research into robust, production-ready technology in collaboration with research, clinical, data, product, and engineering teams.

Develop computer vision algorithms for space technologies, combining classical methods with machine learning and deep learning. The role focuses on real-time performance, efficient use of memory and hardware, and support for multiple modalities.

Develop AI and signal-processing algorithms for radar applications, combining deep learning with classical methods.