Senior ML Platform Architect for GenAI & Data Pipelines

Apple

Cupertino (CA)

On-site

USD 250,000 - 320,000

Full time

14 days+
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Job summary

Apple is seeking a Staff ML Infrastructure Engineer to own the architecture of the platform powering Apple's large-scale model builds. You will define ingestion, versioning, lineage, and governance for petabyte-scale data, and design high-throughput data delivery to the GPU/TPU fleets.

You will mentor senior engineers, lead design reviews, and drive the platform roadmap for next-generation GenAI workloads, embeddings, and retrieval-augmented systems.

Qualifications

  • 10+ years in ML infrastructure or distributed data systems.
  • Experience building large-scale data or ML platforms in production.
  • Deep systems engineering with Python and a systems language (Rust preferred).
  • Familiarity with Parquet, Iceberg, Delta, Lance formats.
  • Strong collaboration and mentorship.

Responsibilities

  • Own the platform architecture behind large model builds across ingestion, versioning, lineage, and governance at petabyte scale.
  • Define data access and loading architecture to keep training compute-bound, not IO-bound.
  • Lead design reviews, mentor engineers, and align multiple teams on technical direction.
  • Drive platform roadmap for foundation models, multimodal data, and retrieval-augmented systems.

Skills

Python
Systems design
Performance engineering
Collaboration
Mentoring

Education

B.S./M.S./Ph.D. in Computer Science or Computer Engineering

Tools

Rust
C++
Go
Parquet
Iceberg
Delta
Lance
Arrow
Docker
Kubernetes

Job description

Apple is seeking a Staff ML Infrastructure Engineer to own the architecture of the platform powering Apple's large-scale model builds. You will define ingestion, versioning, lineage, and governance for petabyte-scale data, and design high-throughput data delivery to the GPU/TPU fleets.

You will mentor senior engineers, lead design reviews, and drive the platform roadmap for next-generation GenAI workloads, embeddings, and retrieval-augmented systems.

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