Machine Learning Engineer

* San Francisco, CA, United States * Not Remote * Engineering * JOB216388 ### **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** **Primary Function** The AI Research group within Intuitive Surgical has an immediate opening in Sunnyvale, CA for a **Machine Learning Engineer** with focus on physical AI systems, robotics simulation environments and end\-to\-end ML pipelines, contributing to new technology development for next\-generation robot\-assisted surgery platforms. **Key Responsibilities** * Design, implement, and optimize scalable Simulation and RL infrastructure for training surgical robots in simulated environments, leveraging distributed systems for parallel processing and high\-throughput simulations * Optimize performance across the simulation stack, including distributed systems, Inference, and rendering, to ensure optimal usage of hardware resources and fast, efficient simulations * Sim\-to\-Real Validation: Support efforts to reduce the sim\-to\-real gap thro