Senior AI Data Platform Engineer — Real-Time ML

Apple; Austin (TX); On-site; USD 130,000 - 180,000; Full time

Job summary

Apple is seeking a Software Engineer for the Athena platform to build scalable data services and ML pipelines used by data scientists and partners for real-time and batch analytics.

You will own design and delivery of low-latency services, monitor pipelines, and help optimize cost and performance. 5+ years in production-grade software and experience with Spark, Kafka or similar tech are preferred.

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

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

Skills

Distributed data platform design

System design & performance

Strong communication

Education

Bachelor's degree in Computer Science or related major

Tools

Spark

Flink

Kafka

CI/CD

Kubernetes

Job description

Apple is seeking a Software Engineer for the Athena platform to build scalable data services and ML pipelines used by data scientists and partners for real-time and batch analytics.

You will own design and delivery of low-latency services, monitor pipelines, and help optimize cost and performance. 5+ years in production-grade software and experience with Spark, Kafka or similar tech are preferred.