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!
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.
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
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
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.
Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.
