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Software Engineer - Athena, Ai & Data Platforms (AiDP

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: Socket.dev
Full Time position
Listed on 2026-08-17
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Engineer - Software, Software Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 220000 USD Yearly USD 140000.00 220000.00 YEAR
Job Description & How to Apply Below
Position: Software Engineer - Athena, Ai & Data Platforms (AiDP)

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 ficient 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.

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