Machine Learning Engineer • Mid-Level

Who you are

You are a highly self-motivated engineer with a strong background in machine learning and video processing technologies. With at least 3 years of relevant industry experience, you possess a solid understanding of signal processing and CPU architecture. Your programming skills in Python, C++, or Java enable you to develop efficient algorithms that work well in resource-constrained environments.

You have a passion for video processing and compression technologies, and you thrive in technically challenging environments. Your creative and analytical skills allow you to investigate the latest learning-based low-level vision technologies and tasks, contributing to innovative solutions that impact millions of users.

What you'll do

In this role, you will collaborate with a team of engineers at Apple to develop, implement, and optimize machine learning-based video processing algorithms. Your responsibilities will include data collection and pre-processing for training, testing, and validation of models. You will also investigate and apply the latest advancements in low-level vision technologies to enhance Apple's image and video core technologies.

You will be expected to work independently and take initiative in your projects, ensuring that your contributions align with Apple's high standards for quality and performance. Your work will directly impact the user experience across various Apple products and services, making your role crucial in maintaining Apple's position as a leader in the industry.

What we offer

Apple provides a collaborative and inclusive work environment where you can grow your skills and make a significant impact. You will have the opportunity to work on cutting-edge technologies that are used by billions of users worldwide. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds in our team.

Join us at Apple, where your work will not only contribute to innovative products but also help shape the future of technology. We offer competitive compensation and benefits, along with a culture that promotes creativity and collaboration.