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 while leveraging a large proprietary multi-modal clinical dataset to power FDA-cleared, award-winning AI.
We’re looking for an AI Algorithms Manager to lead the development of advanced algorithms in the telehealth domain with direct impact on how care is delivered and experienced. In this role you will lead a team of algorithm developers and drive algorithmic work end-to-end, from problem definition and data exploration to model development, evaluation, and integration into real-world systems.
Key Responsibilities
- Lead algorithmic development end-to-end: shaping the technical problem, defining data needs, development, architecture, validation, and implementation
- Drive innovation and infrastructure initiatives to advance solutions 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 team members by providing technical direction, feedback, and support
- Collaborate with cross-functional teams (engineering, product, clinical) for problem definition, solution design, and 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 and 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 (advantage)
- Experience working with physiological or clinical data (advantage)
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