Software Engineer - Athena Synapse, IS&T Ai & Data Platforms
Apple · Shanghai, Shanghai, China
Computers and Electronics Manufacturing · 10,001+ employees
About the role
You will build and maintain scalable data services and machine learning platforms to support real-time and batch decisioning systems. Additionally, you will be responsible for ensuring system reliability, optimizing performance, and monitoring data and model health.
What they look for
Requirements
Candidates must have at least 5 years of experience in building production-grade software or data platforms. Proficiency in Java, Python, or Scala, along with hands-on experience in distributed data technologies like Spark, Flink, or Kafka, is required.
Full description
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.
Description
Turn business and ML requirements into scalable platform and decisioning systems Build resilient, low-latency services for real-time inference and streaming data Define gold-standard CI/CD, observability, and SLA practices for Data and ML Ship automated pipelines powering features, training, and online serving Drive performance and cost optimizations across Data and ML workloads Own data and model health with monitoring, validation, and drift detection.
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. Strong systems thinking, communication, and problem-solving skills. Demonstrated bias for action, curiosity, and ability to learn new technologies quickly.
Preferred Qualifications
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.
