Machine Learning Engineer • Mid-Level

Who you are

You have a strong background in machine learning and computer vision, with hands-on experience developing algorithms that enhance user experiences. Your expertise in deep learning frameworks allows you to implement state-of-the-art solutions effectively. You are skilled in Python and have a solid understanding of software engineering principles, enabling you to optimize algorithms for performance and efficiency.

You thrive in collaborative environments, working closely with cross-functional teams to bring innovative features to life. Your problem-solving skills are complemented by your ability to communicate complex ideas clearly, making you an effective team member in a fast-paced setting. You are passionate about applying your knowledge to real-world applications that impact millions of users.

What you'll do

In this role, you will be responsible for the entire feature lifecycle, from data collection design to model training and optimization. You will collaborate with computer graphics and computer vision researchers to develop algorithms that power Apple Vision Pro's Eyesight and Persona technologies. Your work will involve prototyping and validating new methods, ensuring they are integrated into on-device software frameworks.

You will also engage in applied research to adapt existing methods and implement novel algorithms that enhance the functionality of various Apple products, including iOS, visionOS, and watchOS. Your contributions will directly impact the user experience, making technology more intuitive and accessible.

You will participate in discussions with other machine learning researchers and engineers, sharing insights and best practices to foster a culture of innovation. Your role will require you to stay updated on the latest advancements in machine learning and computer vision, ensuring that Apple remains at the forefront of technology.

What we offer

Apple provides a dynamic work environment where creativity and collaboration are encouraged. You will have the opportunity to work on groundbreaking technologies that shape the future of user interaction. We offer competitive compensation and benefits, along with a commitment to diversity and inclusion in the workplace. Join us in making a difference through technology that enhances everyday life.