Role at a glance
- Salary
- Not Disclosed
- Location
- Austin, Texas, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years building production-grade software or data platforms at scale.
- Education
- Bachelor’s degree in Computer Science or a related technical major
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Role Summary
The Software Engineer will build data services and platforms for the Athena machine learning platform, supporting fraud, waste, and abuse prevention across Apple. The role covers online near-real-time decisioning and offline batch analytics and reporting for data scientists, analysts, and business partners.
What You'll Do
- Translate business and machine learning requirements into scalable platform and decisioning systems.
- Build resilient, low-latency services for real-time inference and streaming data.
- Define CI/CD, observability, and SLA practices for data and machine learning systems.
- Develop automated pipelines for features, training, and online serving.
- Drive performance and cost optimizations across data and machine learning workloads.
- Monitor data and model health through validation and drift detection.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Proficiency 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.
Required
- 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
- 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.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
Responsibilities
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.
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.
Application Deadline
Apple accepts applications to this posting on an ongoing basis.
About the company
Apple
Large Enterprise
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.