AI Research Intern

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies—like the da Vinci surgical system and Ion —have transformed how care is delivered for millions of patients worldwide. We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life. If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare , you’ll find your purpose here. Primary Function of Position  We are seeking a self-motivated intern to support our AI Research and Development team in projects focused on developing a variety of AI foundation models based on multi-modal surgical data. This unique role focuses on the application of cutting-edge  Visual-Language-Action (VLA) models  and advanced robot learning techniques to enhance the capabilities of the da Vinci surgical system. The ideal candidate will bridge the gap between large-scale multimodal AI research and practical, high-impact applications in a safety-critical medical domain. Essential Job Duties  Conduct research and development  on AI technology for surgical robotics, specifically integrating visual data (endoscopic video), surgical context (language/data), and precise robotic actions (instrument control). Develop and implement novel algorithms  for VLA models focused on surgical scene understanding, procedure phase recognition, and learning from expert demonstrations (e.g., imitation learning) to improve system guidance and automation features. Analyze and process large, real-world surgical datasets  from the da Vinci system to train and evaluate AI models. Validate models  using both internal simulation platforms and, where appropriate, physical da Vinci systems, adhering to strict quality and regulatory protocols. Collaborate  with a cross-functional team of engineers, researchers, and potentially even clinicians/surgeons, to translate research prototypes into robust, testable software solutions. Document  research outcomes and contribute to technical reports and internal documentation, with potential opportunities for patent filings or conference submissions.  Required Skills and Experience University Hiring Program Eligibility Requirements: University Enrollment: Must be currently enrolled in and returning to an accredited degree-seeking academic program in the Fall. Internship Work Period: Must be available to work starting January 2027 and full-time (approximately 40 hours per week) during a 10-12 week period. Specific start dates are shared during the recruiting process. Required Education and Training  Current enrollment in an Computer Science, Electrical Engineering or Robotics with emphasis on AI, Machine Learning and Computer Vision or related degree-seeking program at the Master’s or Doctorate level. Preferred Skills and Experience  Publications in top-tier conferences/journals Experience building systems based on machine learning and/or deep learning methods. Strong hands-on Python skills. Strong hands-on experience with deep learning frameworks such PyTorch, TensorFlow, and Caffe. Good hands-on experience with the state-of-the-art deep learning models for language modelling and text retrieval of structured and unstructured text. Good hands-on experience with open-source LLM models and libraries (HuggingFace, LLaMa, LangChain, LlamaIndex, etc). Self-starter and able to work in a collaborative and results oriented environment. (Preferred) Experience extending and innovating on LLM/AI agent techniques. Experience in one or more of RLHF, DPO, finetuning, RAG, CoT, and multi-agent reasoning. (Preferred) Experience with model quantization, LLM edge hardware deployment, prompt engineering, and/or data synthesis. Robotics, action models, large language models (LLM), visual language models (VLM) Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19.  Details can vary by role. Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. Mandatory Notices U.S. Export Controls Disclaimer:  In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees
who are nationals from countries currently on embargo or sanctions status. Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process).   For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s
start date, which may or may not be flexible, and within a timeframe that doe