Senior Applied ML Scientist

This role involves using generative models and optimization tools and methods to produce diverse and representative data when real-world data is scarce, sensitive, or prohibitively expensive to collect. This researcher collaborates closely with other ML scientists and data scientists to understand data requirements, optimize generation pipelines, and ensure the synthetic data supports model generalization and robustness. In addition to research and technical implementation, the role also requires developing quality control mechanisms, such as human-in-the-loop feedback loops, to ensure that synthetic datasets are valid. This work will support applications in diverse domains.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.