Apple

Summary

Posted: May 20, 2026

Weekly Hours: 40

Role Number:200658285

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? Are you a motivated self-starter eager to lead projects while building and growing a team? Come join us in applying AI and ML 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 develop and deliver software that supports the creation 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 an experienced technical leader who can write clean code and drive complex cross-functional projects simultaneously, with a focus on delivering maximum customer impact, we can’t wait to hear from you!

Description

As a Senior Software Engineer on our team, you will play a pivotal role in shaping and delivering high-impact AI/ML solutions that redefine how Apple designs, manufactures, and tests hardware products. The software you build will power data-driven decisions, uncover new insights, and enable breakthrough capabilities across Hardware Engineering and beyond. We operate in a fast-paced, collaborative environment, working closely with cross-functional teams to quickly iterate, validate, and deploy practical AI/ML solutions at scale.

Responsibilities

• Design, develop, and deploy robust AI/ML systems with high-quality, scalable, and maintainable code
• Translate complex, ambiguous requirements into clear technical plans and lead project execution across engineering efforts
• Build scalable infrastructure and platforms to support cutting-edge machine learning workflows, including agentic systems that can plan, reason, and act autonomously
• Research and apply state-of-the-art ML techniques—including LLMs, custom model training, and RAG/agent-based architectures—to real-world hardware challenges
• Stay current with the fast-evolving AI/ML landscape, continuously improving our tools, systems, and methods to maintain a technical edge
• Provide technical mentorship, foster a culture of excellence and inclusion, and help grow team capabilities
• Lead design discussions, author technical documentation, and provide thoughtful, actionable feedback to peers
• Represent the team in executive reviews, product demos, retrospectives, and cross-functional forums

Minimum Qualifications

• 8+ years of professional experience developing production-grade software systems, with a focus on AI/ML
• Expertise in Python and/or object-oriented languages, with experience building and deploying AI/ML applications at scale
• Hands-on experience with LLMs, custom model development, and RAG/agentic architectures
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent industry experience
• Excellent communication skills, with the ability to convey complex technical concepts clearly to both technical and non-technical audiences

Preferred Qualifications

• Strong interest in emerging ML technologies and a passion for continuous learning and knowledge-sharing
• Experience building, leading, or mentoring high-performing software engineering teams
• Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience

Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

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