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

Austin, TX, US • Posted 1 day ago • Updated 8 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Innovation
  • Application Development
  • Fraud
  • Operational Excellence
  • Real-time
  • Analytics
  • Reporting
  • Java
  • Python
  • Scala
  • Apache Spark
  • Apache Flink
  • Apache Kafka
  • Debugging
  • Computer Science
  • Communication
  • Problem Solving
  • Conflict Resolution
  • Machine Learning (ML)
  • Artificial Intelligence
  • Training
  • Generative Artificial Intelligence (AI)
  • Workflow
  • Kubernetes
  • Cloud Computing
  • Mentorship
  • Collaboration

Summary

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.
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: bcb900b5c980e37071c29a8df95d69b3
  • Posted 1 day ago
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