Join Apple's Strategic Data Solutions (SDS) team, where we're dedicated to mitigating fraud, waste, and abuse company-wide while optimizing experiences for customers and internal partners. As a Software Engineer, you'll be part of a team building groundbreaking data analysis systems over Petabytes of data, working alongside machine learning engineers to implement scalable, user-friendly solutions.
In this role, you'll lead the design and implementation of fraud prevention systems, working with expansive datasets to build meaningful data relationships. You'll collaborate closely with Machine Learning Engineers and fellow Software Engineers, taking ownership of system architecture design and infrastructure development. The position offers an opportunity to drive innovation in fraud prevention while working with cutting-edge technologies and large-scale data systems.
The ideal candidate brings strong technical expertise in languages like Python, Java, or Scala, combined with experience in data science tools and cloud-based systems. You'll need excellent problem-solving abilities and strong communication skills to work effectively with cross-functional teams. This role offers competitive compensation ($157,800 - $237,500), comprehensive benefits, and the chance to make a significant impact at one of the world's most innovative companies.
If you're passionate about applying data skills to real-world challenges, have a drive for technical excellence, and want to help build solutions that protect Apple's ecosystem, this role offers an exciting opportunity to grow your career while working on meaningful projects at scale.