Staff Machine Learning Engineer

Responsibilities

• Independently lead projects to improve key metrics at program-level and product-level of model performance tracked throughout the development life cycle of AI/ ML product solutions
• Design, implement and optimize structured experimentation across model architectures, datasets, and training strategies for vision foundation model-driven solutions
• Update and improve primary machine learning models - inform and follow through required data collections and testing for both internal and external regulatory milestones.
• Optimize and validate models for integration into production systems, ensuring performance in real-world clinical settings. This position will be primarily focused on vision foundation models, but may extend to other (language, action, predictive, physical AI, etc)
• Collaborate with physicians and product teams to ensure clinical relevance, robustness and usability of models
• Stay up to date with latest CV/ML/VLA/encoding/predictive/generative AI literature, use this to inform research and product direction
• Participate in integration of new ML/CV algorithms into existing and future robotic platforms; delivering high-quality, production-ready code in a dynamic and fast-paced environment.
• Required Qualifications
• PhD or Master's degree in Computer Science, Electrical Engineering, Robotics, Machine Learning, Computer Vision, or a related technical field.
• 7+ years of industry experience developing machine learning, robotics, computer vision, simulation, or autonomous-systems software; or 4+ years of industry experience with a PhD
• Previously deployed CV/ML projects to users/ customers
• Fluent in Python and experience with ML frameworks and models (PyTorch, TensorFlow, JAX), C/C++ (proficiency)
• Proven cross-functional technical leadership in clinical translation (ability to align research, engineering and product stakeholders around an architecture)
• Demonstrated ability to lead technically complex ML engineering projects from concept through implementation, validation, and integration with users, engineering platforms, or deployed systems.

Requirements

• Familiarity with regulatory-aware AI/ML development, design controls, safety risk analysis, software validation, quality systems, HIPAA, FDA expectations, or data governance in healthcare, medical devices, surgical robotics or other regulated environments.
• Familiarity with containerized deployment (Docker, Kubernetes) and scaling ML systems in production
• Experience with CI/CD and MLOps pipelines for automated model deployment and monitoring
• Proficiency in GPU optimization for either inference or rendering
• Track record of publications, patents, open-source contributions, or productized systems in robotics, machine learning, computer vision, medical imaging, surgical robotics, or physical AI.
• Experience collaborating with clinicians, clinical advisors, human factors teams, regulatory teams, or product teams to ensure clinically meaningful model performance.
• 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.
• 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 employ

Benefits

Additional Information

Primary Function of Position As a Staff Machine Learning Engineer, you will be responsible for developing and delivering novel machine learning solutions for multimodal, physical AI, robotic systems. You will work alongside research, engineering, regulatory, product and clinical teams to develop and test algorithms and translate them into robust, validated and scalable medical device software and infrastructures.

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Company Intel

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