SWE - Machine Learning Technical Lead, Data Engineering

Role Number: 200633418-3401 Summary Do you believe Machine Learning and AI can change the world? We truly believe it can We are the ML Data Ops team at Apple. We build high quality ML datasets, from very small targeted sets to petabyte scale, to train and evaluate ML models that power AI-centric features for many Apple products. Our datasets help power intelligent algorithms on Camera and the Photos app, improve text input experiences (autocorrect, autocompletion, OCR) and more recently feed generative technologies in Apple Intelligence (Image Playground, Genmoji, Writing Tools, Math Notesu2026)Weu2019re looking for an exceptional engineering lead who is passionate about Apple products and values; who loves working with data ops at scale; and who is committed to the hard work vital to continuously improve complex ML data pipelines and data infrastructure. AI-centric products are the future of software; at their core, data is the source code of AI, a key component of innovation and inclusive and fair ML products. We invite you to join us at this exciting time; grow fast and positively impact multiple critical features on your first day at Apple Description Our Data team focuses on acquiring, synthesizing, annotating, and ensuring the quality of ML data, driving numerous features in collaboration with R&D teams in Appleu2019s SWE organization. As a data engineering tech lead, you will be responsible for establishing and executing the strategy for our organizationu2019s ML data engine. Minimum Qualifications + Bachelors, Masters or PhD in Computer Science, Mathematics, Physics, or a related field; or equivalent practical experience. + 7+ years of industry experience as a software engineer, including 2+ years as a tech lead/architect specialized in data infrastructure Preferred Qualifications + Proven experience designing, automating and scaling large data pipelines (petabyte scale desired) using state of the art technologies + Expertise in Python or another modern programming language + Strong ability to design and lead a technical roadmap, work with cross functional teams and a diversity of profiles, proven capacity to influence and build alignment + Demonstrated prior experience in foundation models such as building data infrastructure supporting generative technologies + Self-starter, able to handle ambiguity, identify risks, mitigate, and autonomously find the right people and tools to get the job done + Proven track record of mentoring and growing engineers, lift the level of software engineering excellence in a ML data ops team typically focused on short term deliveries 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. Learn more about your EEO rights as an applicant (.

Created: 2025-12-05