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 helping build the culture of a rapidly growingteam? 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 passionate about writing clean code with a focus on delivering maximum customer impact, we can’t wait to hear from you!
Description
As a 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, implement, and maintain AI/ML software solutions with clean, scalable, and testable code
Collaborate with senior engineers and cross-functional partners to understand requirements and translate them into concrete technical tasks
Develop and refine ML workflows, including training, evaluation, and inference pipelines for both traditional models and LLM-based solutions
Contribute to agentic system development and RAG-based architectures that enable intelligent automation and reasoning
Stay up to date with the evolving AI/ML landscape and help improve our tools, infrastructure, and practices based on new developments
Participate in code reviews, design discussions, and documentation to ensure high engineering quality and team knowledge sharing
Support testing, deployment, and monitoring of models and services in production environments
Minimum Qualifications
Design, implement, and maintain AI/ML software solutions with clean, scalable, and testable code
Collaborate with senior engineers and cross-functional partners to understand requirements and translate them into concrete technical tasks
Develop and refine ML workflows, including training, evaluation, and inference pipelines for both traditional models and LLM-based solutions
Contribute to agentic system development and RAG-based architectures that enable intelligent automation and reasoning
Stay up to date with the evolving AI/ML landscape and help improve our tools, infrastructure, and practices based on new developments
Participate in code reviews, design discussions, and documentation to ensure high engineering quality and team knowledge sharing
Support testing, deployment, and monitoring of models and services in production environments
Preferred Qualifications
3+ years of professional software engineering experience, with a focus on AI/ML development
Proficiency in Python or another object-oriented programming language
Hands-on experience with training and deploying ML models or using LLMs in applications
Strong problem-solving skills and an ability to learn quickly in a fast-paced environment
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent industry experience
Strong communication skills and a collaborative mindset
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.
Learn about accessibility in Apple’s workplace