Machine Learning Scientist Intern

Intuitive•Sunnyvale, CA

13h

About The Position

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 Contribute broadly to the Advanced Product Development team, responsible for machine learning, advanced analytics, and new technology development focused on surgical workflow and performance for next generation robotic surgery platforms. The successful candidate must excel in a high-energy, focused, small-team environment, be able to initiate and drive new research and development directions. A strong sense of shared responsibility and shared reward is required.

Requirements

University Hiring Program Eligibility Requirements:
University Enrollment: Must be currently enrolled in and returning to an accredited degree-seeking academic program after the internship.
Internship Work Period: Must be available to work full-time (approximately 40 hours per week) during a 10-12 week period starting May or June. Specific start dates are shared during the recruiting process.
Qualifications Required Education and Training Current enrollment in Computer Science, Statistics, Applied Mathematics, Robotics, Neuroscience or engineering related degree-seeking program at the Doctorate level
Demonstrate excellent communication skills both written and verbal
Interested in early research and development through to product roll-out
Solid understanding of statistics, machine learning, and deep learning algorithms and techniques is required
Experience with sequence modeling, image analysis, activity recognition, temporal segmentation, spatial segmentation and/or 3D reconstruction on real-world data is required
Experience with Python is required
Hands-on experience with deep learning frameworks such as TensorFlow and/or PyTorch is required
Hands-on experience with CNNs, RNNs, LSTMs, and attention-based architectures is required

Nice To Haves

Hands-on experience leveraging foundation models (Dino, SAM, DepthAnything, VLMs, and/or LLMs) is strongly preferred
Experience with data visualization is a plus
Experience with R, SQL is a plus
Experience with clinical studies is a plus

Responsibilities

Exploration and development of machine learning algorithms for spatiotemporal analysis, including multiclass classification, clustering, temporal segmentation, sequence labeling, spatial segmentation, and 3D reconstruction.
Development of new technologies and digital products to improve surgeon and team performance on robotic surgery platforms.
Contributing to multiple areas of research, including but not limited to the following:
Designing and applying machine learning algorithms to novel, surgical applications
Characterizing surgeon and team behavior and workflow to optimize new technologies
Fully integrating machine learning into core digital products and intelligent systems
Conducting user studies to evaluate digital product concepts
Presenting research at international conferences and publishing research in top academic journals

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