Applied AI/ML SW Software Engineer

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? 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 Product Integrity AI/ML team, and we build and deliver 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 solving difficult challenges, providing data insights, and driving 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.

","responsibilities":"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

Build scalable infrastructure platforms from the ground up to service cutting edge machine learning workflows

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

Preferred Qualifications

Experience building with LLMs, designing and training custom ML models, and developing RAG/agentic pipelines

Exposure or interest in leveraging Kubernetes and other cloud-based deployment platforms to deliver applications reliably at a high velocity

Ability to architect complex systems in a reusable, modular way

Curiosity to learn new technologies and passion for sharing that knowledge with others

Master's degree in Computer Science, Computer Engineering, related field, or equivalent work experience

Minimum Qualifications

Bachelor's Degree in Computer Science, Computer Engineering, related field, or equivalent work experience

2+ years professional software engineering experience working in Python or other object-oriented programming language(s)