职位描述：
Summary：
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.
Key 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
职位要求：
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
招聘部门：
Apple Software and Services
工作地点：
Shanghai, Shanghai, China
面试建议：
This role at Apple’s Product Integrity AI/ML team is uniquely positioned at the intersection of cutting-edge AI research and real-world hardware applications. What makes it special is the expectation to not just develop algorithms, but to create systems that directly impact Apple’s iconic hardware products. The team operates at Apple’s massive scale, requiring solutions that are both innovative and robust enough for production environments. The mention of ‘agentic systems that can plan, reason, and act autonomously’ suggests they’re pushing beyond traditional ML into more advanced AI architectures. When preparing for this interview, focus on demonstrating your ability to bridge theoretical ML knowledge with practical implementation. Be ready to discuss specific examples where you’ve deployed ML systems at scale, especially any experience with LLMs or agent-based architectures. Given the hardware focus, prepare to talk about how ML can solve physical product challenges. Since this is a senior role, expect deep technical discussions about system design and architecture decisions. The interview will likely assess your leadership capabilities too – think about times you’ve mentored others or led technical projects. Most importantly, show your passion for Apple’s mission by understanding how your work could impact their products.
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