Machine Learning Technical Lead - Data Engineering, MLO

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 Apple’s SWE organization. As a data engineering tech lead, you will be responsible for establishing and executing the strategy for our organization’s 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