Company Description
Exin Health AI, headquartered in Palo Alto, is a forward-thinking health tech startup revolutionizing surgical practices through innovative technology. Our flagship platform, ORGenie™, leverages advanced speech and vision AI to streamline surgical documentation for operating room (OR) nurses, ensuring precision in capturing implants, supplies, and medications within seconds. By optimizing case costing, reducing errors, and enhancing overall efficiency, we empower hospitals and ambulatory surgery centers to improve patient safety and elevate nurse satisfaction.
What We Offer:
- Hands-on experience working at the intersection of healthcare, AI, and software development
- Opportunities to contribute to real-world products impacting surgical outcomes
- Mentorship from experienced engineers and exposure to ML, backend, and iOS development
- A diverse, inclusive, and inspiring startup environment
- Flexible remote work with collaborative periods in our offices (US and Turkiye)
Internship Role & Responsibilities:
- Collaborate with the engineering team to implement and test machine learning models and AI components
- Assist in developing iOS app features and backend services supporting our AI platform
- Help prototype and experiment with large language models and multimodal data processing
- Write clear documentation and unit tests to support code quality
- Learn best practices in software development, model deployment, and cloud infrastructure
Preferred Qualifications:
- Recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, or related field
- Familiarity with Python and/or Swift programming languages
- Basic understanding of machine learning concepts and algorithms
- Interest in iOS app development, AI/ML, and backend technologies
- Eagerness to learn, solve problems, and work collaboratively in a startup environment
- Good communication skills and willingness to receive and apply mentorship
Bonus Skills:
- Experience with large language models (LLMs) or natural language processing (NLP)
- Knowledge of cloud platforms and MLOps fundamentals
- Exposure to mobile app development (iOS or Android)
- Understanding of data structures, algorithms, and software engineering principles
Location:
Remote work primarily, with occasional collaborative sessions in Palo Alto, CA or Istanbul, Turkiye.
