Are you passionate about first-class infrastructure and software development, and eager to apply your expertise to solve real-world problems at Apple's incredible scale? Do you want to see your work have direct impact on web services, applications, and deployments used by thousands of engineers every day?Come join us in developing, shipping, and maintaining AI/ML and Generative AI services - including the infrastructure, evaluation pipelines, and integration workflows that provide cutting-edge features to support Apple's hardware product development teams, helping bring amazing, groundbreaking products and innovations to life.

We are the Product Integrity AI/ML team, and we build and deliver software supporting the development of Apple's unparalleled hardware product line. Our software is used by both Apple engineers and third-party accessory manufacturers to develop and debug their systems, with high visibility throughout the company.

Description

As a DevOps/Backend Engineer in our team, you will design, implement, and manage the infrastructure that powers all of our services, tools, and apps. You will work with a diverse array of cross-functional partners throughout Apple on challenging projects incorporating Machine Learning, Generative AI, and MLOps - collaborating closely with ML engineering teams to integrate, evaluate, and operationalize models within our services. The services and software you craft will be instrumental in solving difficult challenges, providing data insights, and driving decision-making within Hardware Engineering and beyond. We move at a fast pace, iterate quickly, and work side-by-side with our customers to ensure we're building the most effective solutions possible.","responsibilities":"Design, build, maintain, and manage cloud infrastructure platforms using IaC to service cutting edge machine learning workflows

Collaborate with ML engineering partners to integrate and operationalize hosted models into our services, building reliable pipelines for model evaluation, A/B testing, and performance benchmarking

Develop and maintain infrastructure for GenAI-powered evaluation and testing workflows, ensuring our internal tooling can assess and compare models across different parts of our systems

Write high-quality code that's testable, scalable, and able to be maintained by others

Work closely with software developers in our team providing infrastructure expertise, cloud integration best-practices, and service architecture guidance

Collaborate across teams and organizations to distill complex requirements into a concrete action plan

Lead design reviews, author documentation, and give meaningful feedback on the designs of peers

Represent your work to the team and leadership through demos, presentations, and retrospectives

Preferred Qualifications

Experience building scalable, maintainable, robust web-services and applications

Ability to architect complex systems in a reusable, modular way

Experience building infrastructure to support Generative AI services, including model integration, evaluation pipelines, and A/B testing frameworks

Familiarity with MLOps practices such as model versioning, pipeline orchestration, experiment tracking, and performance monitoring in production environments

Curiosity to learn new technologies and passion for sharing that knowledge with others

Master's degree in Computer Science, Computer Engineering, related field, or equivalent work experience

Minimum Qualifications

3+ years experience in SRE/DevOps, systems engineering, build/release/deployment, and/or automation

Proficient in implementing applications in private/public cloud infrastructure and container technologies, including but not limited to: Kubernetes, Docker, database platforms, and event/data pipelines, and model-serving or API integration patterns

Experience designing, building and managing CI/CD pipelines

Experience with networking load balancers such as HAProxy, NGINX, etc.

Demonstrated ability to write applications in a high-level programming language like Python, Ruby, Java, etc.

Excellent written and verbal communication skills to both technical and non-technical audiences

Bachelor's Degree in Computer Science, Computer Engineering, related field, or equivalent work experience

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 .

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 $139,500 and $258,100, 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.