Software Engineer - Athena, Ai & Data Platforms (AiDP)

Apple • Sunnyvale, CA

6h

About The Position

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! 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.

Requirements

• 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

Nice To Haves

• 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.

Responsibilities

• Build data services and platforms that run machine learning analytics to prevent fraud, waste and abuse across Apple.
• Work with large-scale data and decisioning platforms used by data scientists, analysts, and business partners.
• Support both online solutions for near-real-time decisioning, and offline solutions for batch analytics and reporting.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level