Apple
AI Data Platform Engineer
$150K–$278K
Cupertino, California · Full-time · Posted Jul 31, 2026
- Experience
- 5+ years designing and building scalable data platforms and distributed systems.
- Education
- Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or a related field.
About the job
Designs and operates scalable AI data platforms and pipelines that turn enterprise and multimodal data into trusted, AI-ready datasets for production AI applications.
What you'll do
- Build data platforms, ingestion pipelines, and lifecycle services for AI-ready datasets.
- Develop data quality, validation, observability, and evaluation frameworks, including RAG and vector database integrations.
- Collaborate across engineering and product teams to deliver and operate secure, scalable AI data solutions.
What they ask for
- Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or a related field.
- 5+ years of experience designing and building scalable data platforms and distributed systems.
- Strong Python and SQL skills; experience with AI data engineering, data quality, and dataset lifecycle management.
- Experience with scalable data pipelines, cloud platforms, Kubernetes, Docker, CI/CD, and Infrastructure as Code.
Nice to have
- Experience building platforms for GenAI, Agentic AI, or Embodied AI applications.
- Experience with multimodal datasets, knowledge graphs, AI evaluation frameworks, or vector search technologies.
Pay
$150,400 and $277,600 USD base salary
Tools
Python, SQL, Java, Scala, Airflow, Kubeflow, MLflow, Spark (PySpark)
AI focus
Builds data platforms and AI-ready datasets for GenAI, Agentic AI, and Embodied AI, including RAG pipelines, embedding workflows, vector database integrations, and AI dataset evaluation.
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