AIML - ML Infrastructure Engineer, ML Platform & Technology - ML Compute
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Description
As a Senior/Staff Engineer on the Foundation Model Compute Infra team, you will design and scale the scheduling and orchestration systems that power Apple's large-scale foundation model training and inference workloads across TPU clusters. You will drive innovations in resource management, cluster efficiency, and platform reliability, enabling Apple's next-generation AI models to train and serve at scale.","responsibilities":"Lead the design and evolution of the scheduling platform that manages large-scale TPU workloads across multi-region clusters, supporting both training and inference.
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Develop topology-aware and quota-aware schedulers to improve cluster utilization, job latency, and fairness.
Collaborate with Apple Foundation Model team to integrate advanced distributed computing frameworks (Pathways, Ray, Beam, JetStream) into the platform or expose them as reliable, scalable services.
Automate complex operational workflows for quota updates, job lifecycle management, and resource provisioning to reduce on-call and dev-ops overhead.
Mentor engineers and partner across teams to influence the direction of Apple's large-scale distributed compute strategy.
Preferred Qualifications
Advance degrees in Computer Science, engineering, or a related field
Proficient in working with and debugging accelerators, like: GPU, TPU, AWS Trainium
Proficient in ML training and deployment frameworks, like: JAX, Tensorflow, PyTorch, TensorRT, vLLM
Minimum Qualifications
Bachelors in Computer Science, engineering, or a related field
5+ years of hands-on experience in building scalable backend systems for training and evaluation of machine learning models
Proficient in relevant programming languages, like Python or Go
Strong expertise in distributed systems, reliability and scalability, containerization, and cloud platforms
Proficient in cloud computing infrastructure and tools: Kubernetes, Ray, PySpark
Ability to clearly and concisely communicate technical and architectural problems, while working with partners to iteratively find
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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