Apple
Software Engineer - Machine Learning & AI
Apple, Cupertino, California, United States, 95014
Software Engineer - Machine Learning & AI
Cupertino, California, United States
Are you passionate about Machine Learning and AI, and eager to apply your expertise to solve real-world problems at scale? Do you want to see your work translated into direct impact on iPhone, AirPods, Watch, Mac, and more? Come join us in applying ML and AI techniques across Apple’s hardware portfolio, helping bring amazing, groundbreaking products and innovations to life. We are the Ecosystem Tools team, and we build software supporting the development 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 excited by writing efficient, testable, and robust code that makes a real difference, we can’t wait to hear from you!
Description
As a Software Engineer in our team, you will work with a diverse array of cross-functional partners throughout Apple on challenging projects incorporating Machine Learning and AI. The software you build will be instrumental in applying ML and AI to solve problems, provide insights, and drive decision-making within Hardware Engineering and beyond. We move at a fast pace, iterate quickly, and work side-by-side with our customers to ensure we’re building the most effective solutions possible. In this role, your main responsibilities will include:
Write high-quality code that’s testable, scalable, and able to be maintained by others in the future
Collaborate across teams and organizations to distill complex requirements into a concrete action plan
Research new ML and AI techniques and advocate for innovative ways to apply them to new and existing problems for our customers
Lead design reviews, author documentation, and give meaningful feedback on the designs of peers
Represent your work to the team and leadership through demos, presentations, and retrospectives
Minimum Qualifications
Bachelor’s degree in Computer Science, Computer Engineering, related field, or equivalent work experience
Demonstrated software engineering experience in one of the following: web, native or Machine Learning/AI applications
Ability to communicate effectively with both technical and non-technical audiences
Key Qualifications
Preferred Qualifications
2+ years software engineering experience working in Python or other object-oriented programming language(s)
Master’s degree in Computer Science, Computer Engineering, related field, or equivalent work experience
Experience with LLMs, designing and training ML models, and building RAG pipelines
Ability to architect complex systems in a reusable, modular way
Curiosity to learn new technologies and passion for sharing that knowledge with others
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