Apple

Summary

Posted: Jul 27, 2026

Role Number:200673804

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, data platforms, and ML systems at scale
• Strong curiosity and bias for adopting new technologies to power real-time and ML-driven products
• Experience operating high-scale, distributed systems across teams and domains
• Proficiency in Python, Scala, or Java for building data services, pipelines, and inference systems
• Hands-on experience with Spark, Flink, or similar distributed processing frameworks

Preferred Qualifications

• Experience with modern data warehouses (e.g., Snowflake) and streaming platforms like Kafka
• Ability to design and optimize large-scale data pipelines and low-latency decisioning flows
• Deep debugging skills across distributed systems, pipelines, and cross-team integrations
• Systems thinking mindset to anticipate scale, reliability, and long-term platform risks

Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

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