Software Engineer - Strategic Data Solutions

At Apple, new ideas quickly become extraordinary products, services, and customer experiences. The Strategic Data Solutions (SDS) team is responsible for mitigating fraud, waste and abuse company-wide while optimizing and empowering customers and internal partners.

As a Software Engineer on the SDS team, you'll work with Machine Learning Engineers to design and implement systems that support fraud prevention efforts. The role involves working with petabytes of data to build meaningful data relationships and engagement experiences for internal customers.

You'll be developing production software for fraud prevention, leading system architecture design, and working with infrastructure teams. The position requires innovation in automation, process improvements, and technical leadership for data scientists. You'll help increase the team's analytical software development capabilities while managing release engineering.

Key qualifications include mastery of Python/Java/Scala/C++, 3+ years in software engineering/data science, and experience with Hadoop/cloud systems. Preferred skills include Docker/Kubernetes experience, database knowledge, and strong problem-solving abilities.

This role offers the opportunity to:

• Work with cutting-edge data analysis systems
• Lead technical initiatives in fraud prevention
• Collaborate with ML engineers and data scientists
• Impact Apple's company-wide fraud prevention efforts
• Build scalable solutions handling petabytes of data
• Drive innovation in data analysis tools and automation

Join Apple's SDS team to apply your software engineering expertise to real-world challenges while helping protect the company's operations through data-driven solutions.