AI Algorithms Manager
Netanya, Israel
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TytoCare is transforming the way care is delivered by enabling leading health plans and health systems to provide remote physical exams, closing the care gap. TytoCare’s Home and Pro Smart Clinic solutions extend high-quality care into homes and community settings, including schools, work sites, urgent care centers, and rural clinics, while leveraging proven engagement models and one of the world’s largest proprietary multi-modal clinical datasets, built from millions of real-world encounters, to power our FDA-cleared, award-winning AI.
Founded in 2012, TytoCare is trusted by more than 240 leading organizations across the U.S., Europe, Asia, Latin America, and the Middle East. Our partners consistently see utilization rates six times higher than traditional telehealth, an average 8.5% reduction in total cost of care, and 11.3% fewer Emergency Department visits, with an average NPS of 83.
We’re looking for an AI Algorithms Manager to lead the development of advanced algorithms in the telehealth domain, with a direct impact on how care is delivered and experienced.
In this role, you’ll lead a team of algorithm developers, drive algorithmic work end-to-end, from problem definition and data exploration to model development, evaluation, and integration into real-world systems. The work focuses on developing AI capabilities in computer vision, signal processing and LLM domains to tackle complex challenges and turn them into reliable, production-ready solutions.
Key Responsibilities
Lead algorithmic development end-to-end- from shaping the technical problem and defining data needs to development, architecture, validation, and implementation
Drive innovation and infrastructure initiatives to advance the solution in alignment with the latest scientific progress
Stay hands-on in research and development, actively contributing to core algorithms and solving complex technical challenges
Design, develop, and optimize models using machine learning, computer vision, and signal processing techniques
Guide the work of team members, providing technical directions, feedback, and support
Ensure robustness and reliability through proper evaluation, validation, and continuous improvement of models
Promote best practices in development, experimentation, and code quality
Requirements
MSc or PhD in Computer Science, Electrical Engineering, Physics, or a related field
7+ years of experience developing algorithms or applying machine learning to real-world problems
3+ years of experience leading \ managing team members
Strong hands-on experience in machine learning and deep learning
Proven experience in computer vision and/or signal processing
Experience with ML frameworks such as PyTorch, TensorFlow/Keras, or similar
Solid understanding of taking models from research to production
Strong problem-solving skills and ability to approach open-ended challenges
Excellent communication and collaboration skills
Experience in digital health / medical devices (an advantage)
Experience working with physiological or clinical data (an advantage)
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