Machine Learning Infrastructure Engineer - SIML, ISE

Cupertino, California, United States Software and Services

Are you passionate about Generative AI? Are you interested in working on groundbreaking generative modeling technologies to enrich billions of people? We are the Intelligence System Experience (ISE) team within Apple’s software organization. The team operates at the intersection of multimodal machine learning and system experiences. Our multidisciplinary ML teams focus on a broad spectrum of areas, including Visual Generative Foundation Models, Multimodal Understanding, Visual Understanding of People, Text, Handwriting, and Scenes, Personalization, Knowledge Extraction, Conversation Analysis, Behavioral Modeling for Proactive Suggestions, and Privacy-Preserving Learning. These innovations form the foundation of the seamless, intelligent experiences our users enjoy every day.We are seeking a ML Infrastructure Engineer to design, optimize, and scale the systems that power large-scale model training across the organization. This role sits at the intersection of high-performance computing, machine learning, and infrastructure engineering, delivering the core capabilities teams rely on to iterate quickly and reliably.

Description

The ideal candidate brings strong software engineering fundamentals, deep familiarity with distributed training, and a passion for building infrastructure that is efficient, observable, and easy for ML practitioners to use. You’ll work closely with model developers and platform teams to ensure training workflows are fast, reliable, and cost-effective—while also supporting users operationally to keep them unblocked and productive.

• Build and maintain distributed training infrastructure
• Optimize training performance through profiling, parallelization strategies and hardware-aware tuning.
• Develop reliable pipelines for data loading, checkpointing, logging, and monitoring to support high-throughput training jobs.
• Collaborate directly with ML engineers to understand scaling bottlenecks and design solutions that improve both training speed and resource efficiency.
• Create and maintain tooling that simplifies how users configure, launch, and debug distributed training jobs.
• Implement strong observability across training workflows—telemetry, dashboards, alerts, and diagnostics.
• Support training workloads, investigate failures, triage performance regressions, and gather real feedback from users.

Minimum Qualifications

Preferred Qualifications

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs.

Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan.

You’ll also receive benefits including : Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition.

Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note : Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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 .

Apple accepts applications to this posting on an ongoing basis.

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