Applied AI/ML SW Software Engineer

Join Apple's Product Integrity AI/ML team as a Software Engineer to apply Machine Learning and AI techniques across Apple’s hardware portfolio. You will develop software supporting Apple’s unparalleled hardware product line, impacting products like iPhone, AirPods, Watch, and Mac. This role involves building efficient, testable, and robust code, collaborating with cross-functional partners, and solving challenging problems by providing data insights and driving decision-making within Hardware Engineering.

Must Have

• Bachelor’s Degree in Computer Science, Computer Engineering, related field, or equivalent work experience
• 2+ years professional software engineering experience working in Python or other object-oriented programming language(s)
• Demonstrated software engineering expertise in web, native, and/or Machine Learning/AI applications
• Excellent written and verbal communication to both technical and non-technical audiences

Good to Have

• Experience building with LLMs, designing and training custom ML models, and developing RAG/agentic pipelines
• Exposure or interest in leveraging Kubernetes and other cloud-based deployment platforms to deliver applications reliably at a high velocity
• Ability to architect complex systems in a reusable, modular way
• 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

Perks & Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• Range of discounted products and free services
• Reimbursement for certain educational expenses (including tuition) for formal education related to advancing your career at Apple
• Eligibility for discretionary bonuses or commission payments
• Relocation assistance

Are you passionate about Machine Learning and AI, and eager to apply your expertise to solve real-world problems at Apple’s incredible scale? Do you want to see your work translated into direct impact on iPhone, AirPods, Watch, Mac, and more? Come join us in applying ML and AI techniques across Apple’s hardware portfolio, 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. If you’re excited by writing efficient, testable, and robust code that makes a real difference, we can’t wait to hear from you!

As a Software Engineer in our team, you will work with a diverse array of cross-functional partners throughout Apple on challenging projects incorporating Machine Learning and AI. The software you build 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.

• Write high-quality code that’s testable, scalable, and able to be maintained by others in the future
• Collaborate across teams and organizations to distill complex requirements into a concrete action plan
• Research new ML and AI techniques and advocate for innovative ways to apply them to new and existing problems for our customers
• Build scalable infrastructure platforms from the ground up to service cutting edge machine learning workflows
• 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

Key Qualifications

• Bachelor’s Degree in Computer Science, Computer Engineering, related field, or equivalent work experience
• 2+ years professional software engineering experience working in Python or other object-oriented programming language(s)
• Demonstrated software engineering expertise in web, native, and/or Machine Learning/AI applications
• Excellent written and verbal communication to both technical and non-technical audiences

Preferred Qualifications

• Experience building with LLMs, designing and training custom ML models, and developing RAG/agentic pipelines
• Exposure or interest in leveraging Kubernetes and other cloud-based deployment platforms to deliver applications reliably at a high velocity
• Ability to architect complex systems in a reusable, modular way
• 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

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 $147,400 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

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Apple accepts applications to this posting on an ongoing basis.