Machine Learning Engineer

Machine Learning Engineer to join our ML and data science team focused on surgical workflow and performance for next-generation robotic surgery platforms. You will integrate ML into digital products and services across engineering, data science, and ML teams; develop automated workflows to curate datasets and train deep learning models; collaborate with ML, data/software engineering teams to streamline model development, deployment, and monitoring; help manage and scale our cloud-based MLOps infrastructure. Travel 5-10% globally. Required: MS/PhD in CS/EE or related field; 3+ years with production ML/data engineering experience; proficiency with PyTorch or TensorFlow; MLOps tools (Domino Data Labs, MLFlow, Kubeflow, W&B); Kubernetes; AWS/GCP; edge and cloud deployments; Python and SQL; Git. Preferred: healthcare experience, production ML deployments, federated learning, multi-modality datasets, and the ability to work in a fast-paced, collaborative environment. Vaccination may be required for certain diseases. Equal opportunity employer with comprehensive compensation and benefits.