AIML - Staff ML Infrastructure Engineer, ML Platform & Technology - ML Compute

Santa Clara,California,United States

Machine Learning and AI

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Description

We are the team who build and maintain compute infrastructure to run ML workloads at Apple that include training, inferencing, fine tuning etc.. We are looking for an experienced software engineer who is excited by the opportunity to solve unique, large scale, highly complex technical problems to make ML workloads more stable, more reliable, more efficient and more cost effective. You will collaborate with a wide range of internal teams, listening intently to understand their challenges and true underlying needs. We are looking for candidates who share a passion for tackling complexity and building platforms that can scale through multiple orders of magnitude. Key responsibilities: - Scope, architect, and deliver innovative high-quality solutions - Effectively communicate complex features and systems in detail - Collaborate with teams across Apple on ML workloads such training, inferencing, fine tuning etc. - Understand industry & company-wide trends to help assess & develop new technologies - Code using Go, Python - Conduct code reviews - Help onboard new team members, provide mentorship and enable successful ramp up on your team's code bases

Minimum Qualifications

• Bachelors in Computer Science, engineering, or a related field

• 7+ years of hands-on experience in building scalable backend systems for training and evaluation of machine learning/deep 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 and data processing infrastructure and tools: Kubernetes, Ray, PySpark

• Ability to clearly and concisely communicate technical and architectural problems, while working with partners to iteratively find solutions

Key Qualifications

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

Education & Experience

Additional Requirements

Pay & Benefits

• 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 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 (https://www.apple.com/careers/us/benefits.html) 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)

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