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

Socket.dev; Sunnyvale (CA); On-site; USD 140,000 - 220,000; Full time

Job summary

Athena Platform Services (APS) is seeking a 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.

You will work with large-scale data and decisioning platforms used by data scientists, analysts, and business partners, supporting both online near-real-time decisioning and offline batch analytics.

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.
• Bachelor's degree in Computer Science or a related technical major

Responsibilities

• Work with large-scale data and decisioning platforms used by data scientists, analysts, and business partners.
• Support online near-real-time decisioning and offline batch analytics and reporting.

Skills

Java

Python

Scala

Education

Bachelor's degree in Computer Science or related field

Tools

Spark

Flink

Kafka

Job 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.