Staff Machine Learning Engineer

Company Description 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. Job Description About This Opportunity: As a Staff Machine Learning Engineer, you will be responsible for driving the design, development, and deployment of novel machine learning solutions for pathology image analysis. You will work with alongside research, engineering, regulatory, and clinical teams to develop and test algorithms and translate them into robust, validated, and scalable medical devic [... source excerpt omitted ...] track record of leading efforts to build and deploy cutting-edge deep learning models on large-scale image data. Ability to work in person in San Carlos, CA office is preferred. Responsibilities: Independently lead projects to conceive, develop, and implement AI/ML approaches to extract novel insights from large-scale microscopy image data sets Perform analysis of neural networks, propose and execute experiments to improve key performance metrics Update and improve primary machine learning models as more data is generated Support software infrastructure and data engineering required to store, annotate, train, and test on large pathology image sets Implement semi-supervised and [... source excerpt omitted ...] usability of models Stay up to date with the latest pathology CV/ML literature, use this to inform research & product direction Optimize and validate models for integration into production systems, ensuring performance in real-world clinical settings Develop applications to be deployed and scaled Qualifications Required Qualifications: PhD or Master’s degree in Computer Science or related field with a focus on ML/CV 7+ years of industry experience developing and deploying ML models or 4+ years of industry experience with a PhD Previously deployed CV/ML projects to users/customers Strong background in deep learning for computer vision Expert knowledge of the latest machine