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Senior ML Infrastructure Engineer - VE Algorithms

Apple· Machine Learning and AI
Apply on company site
San Diego, CA$142.3k - $263.3kfull-timePosted 6mo ago

About the role

Senior ML Infrastructure Engineer focused on building and optimizing infrastructure for training, adapting, and deploying large-scale generative models for Apple’s Video Engineering (VE) team. Hands-on role emphasizing distributed and parallelized training, profiling, and tooling for multi-GPU workflows in video/image ML pipelines.

Responsibilities

  • Optimize and profile training pipelines for large-scale visual pre-training across diffusion and auto-regressive architectures.
  • Design and implement workload scheduling strategies for distributed training across clusters of thousands of GPUs.
  • Profile and optimize across the full compilation stack — from high level graph capture through intermediate representations down to target HW.
  • Build and maintain experimentation tooling, dashboards, and scalable CI/CD pipelines tailored to multi-GPU training workflows.

Qualifications

  • BS in Electrical Engineering/Computer Science or a related field, with a focus on machine learning and minimum 3 years industry experience.
  • Experience in training and adapting LLMs.
  • Advanced fluency in PyTorch.
  • Excellent programming skills in Python or C++ and experience contributing software to large projects.
  • Experience with distributed training of large models.

Skills

Required:Machine Learning fundamentalsPyTorchPythonDistributed trainingLLMs
Nice to have:C++

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for certain educational expenses — including tuition
  • discretionary bonuses or commission payments and relocation (eligible)
  • participation in Apple stock programs (stock purchase plan, RSU potentially)
Last updated Jul 3, 2026. Interested? Apply on the company site.

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