Job 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.
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
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
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
