Software Engineer - Machine Learning & AI

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.

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

If you're excited by writing efficient, testable, and robust code that makes a real difference, we can't wait to hear from you!