Machine Learning Engineer • Mid-Level

Who you are

You have a Bachelor's degree and at least 3 years of relevant industry experience in machine learning and video processing. Your hands-on experience with image and video processing technologies has equipped you with a strong foundation in computer vision. You possess programming skills in Python, Java, or C/C++, allowing you to implement complex algorithms effectively. Your adaptability and motivation drive you to thrive in technically challenging environments, pushing the boundaries of innovation.

You are eager to collaborate with a dynamic team of engineers, contributing to the development of core technologies that impact millions of users. Your strong communication skills enable you to articulate complex concepts clearly, fostering collaboration and understanding within your team. You are committed to continuous learning and staying updated with the latest advancements in machine learning and video processing.

What you'll do

In this role, you will develop, implement, and optimize machine learning-based video processing algorithms that enhance Apple's product offerings. You will contribute to data collection, curation, analysis, and processing for algorithm training and evaluation, ensuring high-quality outputs. Your research will involve evaluating state-of-the-art learning-based methods for low-level vision tasks, allowing you to innovate and improve existing technologies.

You will work closely with other engineers to design and implement cutting-edge image and video processing technologies that power both current and future Apple products. Your contributions will directly impact the user experience of millions, as the technologies you help create will be experienced by over a billion people every day. You will also have the opportunity to mentor junior engineers, sharing your knowledge and expertise to foster their growth within the team.

What we offer

At Apple, you will be part of a team that consistently sets industry standards and redefines the world through technology. We offer a collaborative work environment where innovation is encouraged, and your contributions are valued. You will have access to resources and support to help you grow in your career, with opportunities to work on projects that have a significant impact on the industry. Join us in shaping the future of technology and making a difference in the lives of users around the globe.