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Apple

Senior Software Engineer, Machine Learning & AI

ChinaPosted Oct 9, 2026

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Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

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

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

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

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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