Ml Data Operations Lead • Lead

Who you are

You have a strong background in machine learning and data operations, with a proven track record of leading initiatives that enhance data quality and accessibility. Your experience includes architecting data pipelines that prioritize privacy and efficiency, ensuring that machine learning models can be developed and deployed effectively. You are skilled in data analysis and have a deep understanding of the data lifecycle, from acquisition to synthesis. You thrive in collaborative environments, working closely with engineering, product, and legal teams to align data strategies with organizational goals. Your curiosity about generative AI technologies drives you to explore innovative solutions that can transform data operations. You are committed to fostering a culture of privacy-first practices in machine learning, understanding the importance of ethical data usage.

Desirable

Experience with generative AI and synthetic data generation is a plus, as is familiarity with privacy-preserving technologies. You may also have a background in compliance and legal considerations related to data usage, which will enhance your ability to navigate complex data landscapes. A passion for continuous learning and staying updated on the latest trends in AI and machine learning will set you apart.

What you'll do

As the ML Data Operations Lead, you will architect and drive the strategic vision for machine learning data operations across Wallet, Payment, and Commerce. You will oversee the complete lifecycle of machine learning data operations, ensuring that data acquisition, augmentation, and synthesis initiatives are executed effectively. Your role will involve pioneering comprehensive data synthesis initiatives to reduce dependency on external data procurement, developing capabilities for synthetic data generation that accelerate model development while optimizing costs and enhancing privacy protection. You will collaborate with cross-functional teams to ensure that data strategies align with product initiatives and legal requirements. Your leadership will shape the data operations strategy, impacting features used by millions of users while promoting privacy-first machine learning practices. You will also be responsible for monitoring and improving data quality, ensuring that the data used for machine learning is accurate, relevant, and timely. Your insights will guide the development of robust data pipelines that support scalable machine learning solutions across multiple product initiatives.

What we offer

Apple offers a dynamic work environment where innovation is at the forefront. You will have the opportunity to work with cutting-edge technologies and contribute to projects that have a significant impact on millions of users. We provide competitive compensation and benefits, along with opportunities for professional growth and development. You will be part of a diverse team that values inclusion and collaboration, fostering an atmosphere where your ideas can thrive. Join us in shaping the future of machine learning and data operations at Apple.