[Skip to main content](#main-content) [ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/) Intuitive · Sunnyvale, CA # Reinforcement Learning Intern Sunnyvale, CA, United States Internship or early career Early career Education & Training Listed on Intuitive’s official careers site. Posted October 28, 2026. Check that it is still open and apply there. [Apply on Intuitive’s careers site →](https://jobs.smartrecruiters.com/Intuitive/744000158310864-reinforcement-learning-intern) [OpenNash Jobs](https://jobs.opennash.com/) / [Intuitive](https://jobs.opennash.com/companies/intuitive/) / Reinforcement Learning Intern ## Job description Primary Function of Position The Reinforcement Learning Intern will report to future forward research lead and contribute to the development and evaluation of reinforcement learning (RL) algorithms in support of supervised autonomy initiatives. The intern will identify, train, and test several RL algorithms using data collected from the Intuitive surgical robot systems. While the bulk of this work will take place on offline -collected data (i.e., not in real-time on the robot), a stretch goal would be to deploy an RL algorithm to control the robot in real-time. ### Essential Job Duties Collect tele-operated simulation and/or real data from the surgical robot while performing a realistic exercise (e.g., Fundamentals of Laparoscopic Surgery pick-and-place). This is referred to as trajectory data and is critical for RL training. Train off-the-shelf reinforcement learning algorithms (e.g., policy gradient methods, actor-critic methods, etc.) on the trajectory data and benchmark their performance using established metrics. Adapt reinforcement learning algorithms to the surgical domain and exercise of interest and identify techniques for improving performance relative to off-the-shelf RL models. Recommend a suggested algorithm / experimental setup moving forward (beyond the internship) based on experimental results, and present findings to the broader team. Deploy chosen RL algorithm either in simulation or on the dV5 to validate its performance in real-time (vs. purely offline evaluation). ## Qualifications ### 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 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. Required Education and Training Current enrollment in an Engineering (e.g., Biomedical, Electrical), Robotics, Computer Science, or related degree-seeking program at the Doctorate level. Working Conditions None. ### Preferred Skills and Experience Competitive applicants have one or more of these skills and a willingness to learn others. Deep experience with a deep learning framework (e.g., PyTorch or JAX). Strong familiarity with reinforcement learning algorithms (e.g., policy gradient methods, actor-critic methods). Willingness to learn about robotics and the application of RL to surgical robotics. Excel in communicating, both in written and verbal form, about motivation for running experiments, experimental findings, and the implications of the work. Experience with video-based and multimodal data analysis and processing. ## At a glance - Posted by the employer: Oct 28, 2026 - First seen by OpenNash: Nov 3, 2026 - Last checked: Nov 10, 2026 - Listed for: 13 days - Location: Sunnyvale, CA, United States - Employment type: Internship or early career[Apply on Intuitive’s careers site →](https://jobs.smartrecruiters.com/Intuitive/744000158310864-reinforcement-learning-intern) ## Hiring at Intuitive - Open jobs: 812 - New in the last 7 days: After two weekly collections - Tracked since: Oct 13, 2026 [All Intuitive jobs](https://jobs.opennash.com/companies/intuitive/) · [Weekly hiring report](/reports/hiring/) ## More jobs at Intuitive ### [Senior Services Learning Trainer](https://jobs.opennash.com/companies/intuitive/jobs/51628995def52bbd2f51/) Sunnyvale, CA, United States ### [Sr Learning Product Analyst](https://jobs.opennash.com/companies/intuitive/jobs/ed1e367cf6138d01adfa/) Sunnyvale, CA, United States ### [Sr. Digital Education Manager - Hospital Implementation](https://jobs.opennash.com/companies/intuitive/jobs/308f338ac68cee97d53b/) Sunnyvale, CA, United States ### [Robotic Algorithm and Controls Engineer](https://jobs.opennash.com/companies/intuitive/jobs/c430894224e0b97176f2/) Sunnyvale, CA, United States ### [Robotic Algorithms and Control Engineer](https://jobs.opennash.com/companies/intuitive/jobs/4298c9202f5837794e15/) Sunnyvale, CA, United States ## Similar jobs at other companies ### [2027 Machine Learning Center of Excellence - Time Series and Reinforcement Learning (TSRL) - Summer Associate](https://jobs.opennash.com/companies/jpmorganchase/jobs/e8369f6e0264be624408/) JPMorganChase · New York, NY, United States ### [Lead Applied Data Scientist - Recommendations (Contextual Bandits, Reinforcement Learning)](https://jobs.opennash.com/companies/target/jobs/67b821e969699f715f95/) Target · Minneapolis, MN ### [2027 Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) - United States, PhD Student Science Recruiting](https://jobs.opennash.com/companies/amazon/jobs/ec62591ec9ad3128e879/) Amazon · US, WA, Seattle ### [Applied Deep Learning PhD Research Intern, Reinforcement Learning for LLMs - Fall 2026](https://jobs.opennash.com/companies/nvidia/jobs/42d001528f77c6d200c8/) NVIDIA · US, CA, Santa Clara ### [Staff Research Engineer, GenAI Reinforcement Learning, DeepMind](https://jobs.opennash.com/companies/alphabet/jobs/4586b5373f38ecc2e8db/) Alphabet · Mountain View, CA, USA [Jobs in Sunnyvale, CA](/locations/us/ca/sunnyvale/)[Jobs in California](/locations/us-ca/)[Education & Training jobs](/functions/education-training/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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