Senior ML Infrastructure Engineer - VE Algorithms
Apple· Machine Learning and AI
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.
About Apple
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