Software Engineer - Athena, Ai & Data Platforms (AiDP)
Apple Sunnyvale, California, United States
Computers and Electronics Manufacturing · 10,001+ employees
About the role
You will build and maintain large-scale data and decisioning platforms to support real-time and batch analytics for fraud prevention. The role involves collaborating with data scientists and business partners to develop robust, production-grade data solutions.
What they look for
Requirements
Candidates must have at least 5 years of experience building production-grade software or data platforms and proficiency in Java, Python, or Scala. A bachelor's degree in Computer Science or a related field is required, along with hands-on experience in distributed data technologies.
Full description
AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.
Athena Platform Services (APS) is looking for a talented Software Engineer to play a meaningful role in building data services and platforms that run machine learning analytics to prevent fraud, waste and abuse across Apple. Athena is a machine learning platform committed to providing high-quality, data-driven risk decisioning. We are passionate about operational excellence and providing data-driven solutions with meaningful results!
Description
As a Software Engineer on the Athena platform, you will be working with large-scale data and decisioning platforms used by data scientists, analysts, and business partners. This position supports both online solutions for near-real-time decisioning, and offline solutions for batch analytics and reporting.
Minimum Qualifications
5+ years building production-grade software or data platforms at scale. Proficient in Java, Python, or Scala. Hands-on experience with Spark, Flink, Kafka, or similar distributed data technologies. Experience designing, optimizing, and debugging large-scale production data pipelines. Bachelor’s degree in Computer Science or a related technical major
Preferred Qualifications
Strong systems thinking, communication, and problem-solving skills. Demonstrated bias for action, curiosity, and ability to learn new technologies quickly. Experience with ML/AI platforms, including feature engineering, model training, or GenAI workflows. Familiarity with Kubernetes and cloud-native technologies. Experience with Alibaba Cloud or other cloud platforms in regulated or region-specific environments, including PIPL. Experience mentoring engineers and driving technical collaboration.
