Senior ML Platform Engineer for Generative AI & LLMs

Apple, Inc.

Cupertino (CA)

On-site

USD 185,000 - 325,000

Full time

7 hours ago
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Benefits offered by this job

Apple stock programs
Benefits including medical & dental
Tuition reimbursement
Relocation assistance

Job summary

Apple, Inc. in Cupertino, California is seeking a Senior Software Engineer for the Intelligence Platform to design and build large-scale ML/Generative AI platforms powering advanced features across Apple’s OS and apps.

You will shape the platform used by hundreds of teams and influence user experiences globally. You will collaborate with teams to train, qualify, deploy and serve models, design APIs for ML and Generative AI, adapt model architectures to execution environments, and partner with

Qualifications

  • Excellent software design, debugging and problem solving skills.
  • Background architecting and building data or machine learning platforms.
  • Experience building on LLMs or other generative models.
  • Ability to translate cutting‑edge research into tangible applications.
  • Deep understanding of multi-threaded programming and synchronization.

Responsibilities

  • Collaborate with Apple teams on training, qualifying, deploying, and serving models.
  • Design and refine systems and APIs for Machine Learning and Generative AI.
  • Understand and adapt new model architectures to execution environments.
  • Work with leadership across Apple to define policy.

Skills

Software design
ML platform architecture
LLMs / Generative models
Multi-threaded programming

Job description

Apple, Inc. in Cupertino, California is seeking a Senior Software Engineer for the Intelligence Platform to design and build large-scale ML/Generative AI platforms powering advanced features across Apple’s OS and apps.

You will shape the platform used by hundreds of teams and influence user experiences globally. You will collaborate with teams to train, qualify, deploy and serve models, design APIs for ML and Generative AI, adapt model architectures to execution environments, and partner with

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