AI Algorithms Manager

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.

About the role

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.

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
• Collaborate with cross-functional teams (engineering, product, clinical) during problem definition, solution design and smooth integration into production systems
• 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

Nice to have

• Experience in digital health / medical devices
• Experience working with physiological or clinical data