Staff Machine Learning Engineer

Job Description

Job Description 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. 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) Design and maintain end-to-end ML pipelines spanning data collection, data curation, synthetic data generation, model training, evaluation, validation, and integration into robotic platform workflows. Implement semi-supervised and self-supervised methods and pipelines to reduce image annotation burden. Develop tools, pipeline, framework and applications to be deployed and scaled. 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 in