Athena Platform Services (APS) is looking for a Software Engineer to help build the data and machine learning platforms that power intelligent risk decisioning across Apple. Athena enables teams to turn data into action, scaling models and analytics that detect fraud, prevent abuse, and help protect millions of users across Apple's products and services every day.
In this role, you will work with large-scale data to design, build, and enhance our scalable offline decisioning platform, providing frameworks and tools for feature engineering, model training, graph databases, and offline analytics. While familiarity with machine learning concepts is helpful, the primary focus is on platform engineering, with opportunities to learn ML tools on the job. The platform ingests hundreds of thousands of TPS transactional data in near real time, enabling teams to work with large-scale datasets efficiently.
6+ years building production-grade software or data platforms at scale\nProficient in Java, Python or Scala for data pipelines, frameworks, or ML workflows\nHands-on experience with Spark, Flink, or similar data processing frameworks \nExperience with modern data warehouses (e.g., Snowflake, Iceberg) and streaming platforms (e.g., Kafka)\nStrong skills in designing, optimizing, and debugging large-scale offline data pipelines\nBachelors of Science in Computer Science or similar degree or equivalent industry experience
Excellent communication skills and ability to analyze and resolve production issues independently\n\nDemonstrated bias for action, curiosity, and ability to adopt new technologies quickly\n\nExperience mentoring engineers and fostering technical collaboration\n\nStrong systems thinking mindset for long-term reliability, scalability, and maintainability\n\nPassionate about driving innovation through next-generation platforms that optimize offline decisioning and ML workflows for performance, accuracy, and scale\n\nExposure to ML/AI ecosystems, including feature engineering, model training pipelines, and GenAI tools\n\nFamiliarity with Kubernetes and cloud-native platform technologies\n
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: d2544a24faadbbd5704688328de1c3ef
- Posted 22 hours ago
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