Machine Learning Engineer - Visual Intelligence

Visual Intelligence is a new feature that enables users to learn about the objects and places around them. We are a new and growing team building the future of user experiences at the intersection of computer vision, machine learning and Apple intelligence. This is an exciting time to join and have impact at the core of Apple’s future roadmap for Apple Intelligence. We are especially looking for people who love to collaborate across disciplines and teams, and are motivated and inspired by the potential to help shape the future of system experiences across the entire Apple ecosystem.

DESCRIPTION

We are looking for a software engineer to work on building the next generation of features for Visual Intelligence, including CV/ML, sensor fusion, simulation/evaluation pipelines, APIs, and core backend software components. Our work is primarily in Swift, so prior experience is highly preferred. If you are an outstanding software engineer with no Swift experience, we’d still love to hear from you.

MINIMUM QUALIFICATIONS

0-10 years of professional experience writing software Experience working on any of the following: computer vision, real-time perception, digital signal processing, camera/sensor pipelines, sensor fusion, ISPs, robotics, or related technologies at the intersection of sensor hardware, software, and machine learning

PREFERRED QUALIFICATIONS

Experience using Swift, Xcode and Apple’s developer APIs a plus A learning mentality and a willingness to try things that may fail. You should be able to learn from both success and failures. Ability to communicate effectively with both technical and non-technical teams Ability to thrive in a fast-paced, highly collaborative team environment A background in Computer Science, Computer Engineering, Electrical Engineering, or related plus experience shipping software is ideal. Experience working with computer vision, machine learning, digital signal processing, robotics, or related are a plus. If that’s not your background, but you can show a strong track record of software development, curiosity, making, and learning, we’d love to talk to you.