- Apple
- Sunnyvale, CA
- Full-Time
- 53 days ago
Software Engineer - Athena, Ai & Data Platforms (AiDP).
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Software Engineer - Athena, Ai & Data Platforms (AiDP): our view in 3 lines...
- The Role:This role is for a software engineer building AI and data platforms that support machine learning analytics and decisioning across Apple.
- The Person:The person will build data services and platforms, support online and offline decisioning solutions, and work on large-scale data and machine learning analytics systems.
- Requirements:The ideal candidate has 5+ years building production-grade software or data platforms at scale, is proficient in Java, Python, or Scala, and has experience with Spark, Flink, Kafka, and Kubernetes.
About the role
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.