[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Intuitive jobs](https://jobs.opennash.com/companies/intuitive/) · [Search jobs](/search/) Intuitive · Sunnyvale, CA # Sr. Machine Learning Engineer Sunnyvale, CA, United States Full-time Senior individual contributor Data & Analytics Listed on Intuitive’s official careers site. Posted August 25, 2026. Check that it is still open and apply there. [Apply on Intuitive’s careers site →](https://jobs.smartrecruiters.com/Intuitive/744000145565870-sr-machine-learning-engineer) [OpenNash Jobs](https://jobs.opennash.com/) / [Intuitive](https://jobs.opennash.com/companies/intuitive/) / Sr. Machine Learning Engineer ## Job description The Ion™ endoluminal system is Intuitive's new robotic platform for minimally invasive biopsy in the peripheral lung, with an initial goal of improving the early diagnosis of lung cancer. We are seeking a senior algorithm engineer to play a lead technical role in conceptualizing, designing, and evaluating our next-generation planning and guidance software. This role is dedicated to developing advanced algorithms to analyze real-time ultrasound (US) imaging- specifically endobronchial ultrasound (EBUS) and min-profile ultrasound probes – for the accurate detection, segmentation, and classification pulmonary structures. This position focuses heavily on processing temporal, high-resolution ultrasound video streams, mitigating inherent acoustic artifacts, and fusing ultrasound data with pre-operative imaging modalities to improve targeting confidence and clinical outcomes. ### Essential Duties Drive the full cycle of medical imaging analysis software development, developing algorithms from R&D concepts into robust, commercial medical device products. Design, prototype, and implement advanced computer vision and machine learning algorithms tailored for real-time processing of diverse ultrasound modalities, including EBUS and ultrasound probes. Develop specialized algorithms to handle the unique challenges of high-frequency ultrasound data, including speckle reduction, acoustic shadowing mitigation, and temporal tracking across video frames. Apply and fine-tune state-of-the-art architectures, including spatio-temporal Vision Transformers (ViTs), recurrent networks, nnU-Net, Graph Neural Network (GNN) and Diffusion models, adapting them for noisy, high-frame-rate clinical ultrasound datasets. Architect and execute model deployment pipelines, seamlessly integrating trained models into high-performance C++ production environments, utilizing techniques like quantization, pruning, and hardware acceleration to ensure real-time performance on constrained medical systems. Support system integration and testing while generating formal design documentation and patent applications. ## Qualifications ### Qualifications MS or PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field. 5+ years of hands-on industrial experience in algorithm development, with a deep specialization in medical imaging and computer vision. Exceptional proficiency in Python and C++, with a deep understanding of modern software component design for production environments. Expert knowledge of ML frameworks and software toolkits, including PyTorch, OpenCV, MONAI, ITK, VTK, and model optimization tools such as TensorRT or ONNX. Strong domain expertise in ultrasound physics, acoustic image processing, and temporal/video data analysis is highly preferred, especially experience with data from EBUS or high-resolution small-profile transducers. Experience with spatiotemporal deep learning architectures and deployment of low-latency real-time applications for ultrasound imaging applications. Experience or knowledge of the development of AI/ML features in strict alignment with Good Machine Learning Practice (GMLP) principles, ensuring data representativeness and model transparency. A proven track record of shipping commercial AI/ML software products is bonus. Excellent verbal and written communication skills for effective cross-functional collaboration with clinical and engineering teams. ## At a glance - Posted by the employer: Aug 25, 2026 - First seen by OpenNash: Oct 13, 2026 - Last checked: Oct 20, 2026 - Listed for: 56 days - Location: Sunnyvale, CA, United States - Employment type: Full-time[Apply on Intuitive’s careers site →](https://jobs.smartrecruiters.com/Intuitive/744000145565870-sr-machine-learning-engineer) ## More jobs at Intuitive ### [Director Finance AI & Data Governance](https://jobs.opennash.com/companies/intuitive/jobs/f37ef26bccacf07194ff/) Sunnyvale, CA, United States ### [Future Opportunity -- Machine Learning Engineer](https://jobs.opennash.com/companies/intuitive/jobs/c693ba10affcf353218e/) Sunnyvale, CA, United States ### [Salesforce CRM Analytics and Sales/Service Architect](https://jobs.opennash.com/companies/intuitive/jobs/abc9e7b2594fcad65208/) Sunnyvale, CA, United States ### [Senior Insights Architect - Analytics and AI](https://jobs.opennash.com/companies/intuitive/jobs/00e50cd114f94257206d/) Sunnyvale, CA, United States ### [Senior Machine Learning Engineer](https://jobs.opennash.com/companies/intuitive/jobs/a07a9c38c1efa4b92737/) Sunnyvale, CA, United States ## Similar jobs at other companies ### [Software Development Engineer (Machine Learning)](https://jobs.opennash.com/companies/fortinet/jobs/b767b5cf9b10bdd48539/) Fortinet · Sunnyvale, CA, United States ### [Senior Machine Learning Engineer](https://jobs.opennash.com/companies/microsoft/jobs/a28bc03521860e161cf2/) Microsoft · United States, Massachusetts, Cambridge ### [Senior Machine Learning Engineer](https://jobs.opennash.com/companies/cvs-health/jobs/6997911d5e1c02b976f9/) CVS Health · New York, NY ### [A/AI Machine Learning Engineer](https://jobs.opennash.com/companies/lockheed-martin/jobs/653cd776436867ec18c7/) Lockheed Martin · Manassas, VA ### [Senior Staff Engineer, Machine Learning Engineering ( On-device Learning SW)](https://jobs.opennash.com/companies/qualcomm/jobs/d561df305202050c72d5/) Qualcomm · San Diego, California, United States of America OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)