Machine Learning Operations Data Team

Would you like to contribute to generative AI and transform how people interact with AI technologies? Do you believe Machine Learning and AI can change the world? We truly believe it can! We are the Machine Learning Operations Data Team, part of Intelligent System Experience (ISE) group within the software engineering organization at Apple. We are responsible for building high-quality ML datasets at scale, used to train ML models that power AI-centric features for many Apple products (iPhone, iPad, Mac, Apple Watch, and even AirPods). Such features as Apple Intelligence, face recognition of your loved ones in your Photos app, and input experiences (e.g., autocorrect, next-word prediction, handwriting recognition) are all features our team has supported.\n\nWe are looking for a talented individual to drive Data Programs supporting ML features, in close collaboration with our R&D partners, and to run the corresponding data projects end-to-end (collection & annotation). We invite you to join us at this exciting time! Grow fast and positively impact multiple critical features on your first day at Apple!

Our MLO Data team focuses on data acquisition, data synthesis, data science, annotation, and data QA. Each year, we power dozens of features and work closely with ML teams across the Software Organization. Apple’s commitment to deliver incredible experiences to a global and diverse set of users in full respect of their privacy leads our team to explore innovative ways of collecting and annotating data. \n\nThis role is responsible for overseeing the end-to-end process for our R&D partners machine learning data needs; from conceptualization to completion, and ensuring that the data delivered to R&D meets Apple’s rigorous quality standards.

Bachelors degree in computer science or related field; or equivalent practical experience.\n5 years of experience with program/project management.

Exhibits excellent program/project management, communication, interpersonal, analytical, and organizational skills\nA talent for creating ML datasets focusing on end-to-end user experience by foreseeing issues, handling edge cases, and removing bias while ensuring inclusion and fairness\nProficient in problem-solving and critical thinking, with a focus on innovation and continuous improvement \nScripting skills (Python) to automate tasks, compute metrics and explore use of workflows combining ML and human inputs\nSelf-starter, able to handle ambiguity, identify risks, troubleshoot, and find the right people and tools to get the job done\nCapacity to multitask and manage multiple projects in parallel while meeting deadlines, and maintaining clear and effective communication with stakeholders