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Software Engineer - Machine Learning & AI

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!

Description


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 using ML and AI, providing 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. In this role, your main responsibilities will include: - 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

Minimum Qualifications


Demonstrated software engineering expertise in web, native, and/or Machine Learning/AI applications Bachelor’s Degree in Computer Science, Computer Engineering, related field, or equivalent work experience Excellent written and verbal communication to both technical and non-technical audiences

Preferred Qualifications


2+ years professional software engineering experience working in Python or other object-oriented programming language(s) 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
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Average salary estimate

$125000 / YEARLY (est.)
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$100000K
$150000K

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CULTURE VALUES
Inclusive & Diverse
Diversity of Opinions
Work/Life Harmony
Dare to be Different
Reward & Recognition
Empathetic
Take Risks
Growth & Learning
Transparent & Candid
Mission Driven
Passion for Exploration
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BENEFITS & PERKS
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Learning & Development
Paid Time-Off
Maternity Leave
Social Gatherings
FUNDING
SENIORITY LEVEL REQUIREMENT
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EMPLOYMENT TYPE
Full-time, onsite
DATE POSTED
May 2, 2025

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