AIML - ML Engineer, Machine Learning Platform & Infrastructure

AIML - ML Engineer, Machine Learning Platform & Infrastructure

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. Do you want to make Siri and Apple products more intelligent for our users? The Information Intelligence Infrastructure team is building groundbreaking technology for search, natural language processing, artificial intelligence and machine learning. Our infrastructure is the backbone of Apple Intelligence, powering the largest Apple foundation models on servers and a wide gamut of services at Apple including Apple Search, Apple Music, AppleTV, AppStore, iMessages, Photos & Camera, Spotlight, Safari, Siri, and upcoming ever exciting Apple products serving millions of queries every day with incredible low latencies, drawing every ounce of compute from our hardware.

Description

We design, build, and maintain infrastructure to support features that empower billions of Apple users. Our team processes billions of requests every day across our search and foundation model platform. We take full end-to-end ownership of our services, driving them through every stage meticulously, encompassing conception, design, implementation, deployment, and maintenance. As a result, each one of us takes our responsibilities seriously. In this team, you’ll have the opportunity to work on incredibly complex large-scale systems with trillions of records and petabytes of data, work alongside the Foundation Model Research team to optimize inference for cutting-edge model architectures, and work closely with product teams to build production-grade solutions for millions of customers in real time.

Minimum Qualifications

• Strong background in computer science: algorithms, data structures, and system design.
• 10+ years of experience in large-scale distributed system design, operation, and optimization.
• Familiar with one of the popular ML Frameworks like PyTorch or TensorFlow.
• Excellent interpersonal skills able to work independently as well as cross-functionally.

Preferred Qualifications

• Proficient in building and maintaining systems written in modern languages (e.g., Golang, Python).
• Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models.
• Familiarity with Nvidia TensorRT-LLM, vLLLM, Nvidia Triton Server, etc.

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 $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become Apple shareholders 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 reimbursement for certain educational expenses — including tuition — related to advancing your career at Apple. 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 take affirmative action to ensure 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.