Software Engineer, Machine Learning & AI Full-time

Summary
Are you passionate about Machine Learning and Al, 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 Al techniques across Apple’s hardware portfolio, helping bring amazing, game-changing 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 and accessories, 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 Al. The software you build will be instrumental in applying ML and Al 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. Your main responsibilities include:
• Write high-quality code that’s testable, scalable, and able to be maintained by others in the
• Collaborate across teams and organizations to distill complex requirements into a concrete action plan
• Research new ML and Al techniques and come up with innovative ways to apply them to new and existing problems for our customers
• Lead design reviews, author documentation, and give meaning feedback on the designs of peers
• Represent your work to the team and leadership through demos, presentations, and retrospectives