Machine Learning Engineer • Mid-Level

Who you are

You are an independent and self-motivated engineer with deep expertise in machine learning — you understand the intricacies of video and image processing quality and are passionate about creating impactful technologies. Your creativity and problem-solving skills enable you to tackle complex challenges in the image and video domain, ensuring that customer needs are always at the forefront of your work.

You have a strong foundation in machine learning techniques, particularly in deep learning applications — you've successfully designed sophisticated model architectures and fine-tuned performance parameters to optimize output quality. Your experience allows you to seamlessly port solutions across different platforms while maintaining a focus on memory efficiency, power consumption, and processing speed.

What you'll do

In this role, you will be responsible for developing machine learning-based technologies that enhance the image and video capabilities of Apple products — you will work closely with a fast-paced team to prototype innovative applications that have a direct impact on customer experience. Your responsibilities will include presenting and demonstrating your work to cross-functional teams and leadership, ensuring that your contributions are recognized and valued.

You will collaborate with team members to tackle complex image and video challenges, applying cutting-edge machine learning techniques to create solutions that delight and inspire millions of users. Your role will involve designing and implementing architectural modifications to improve overall output quality, as well as optimizing models for various performance metrics.

What we offer

Apple provides a dynamic work environment where innovation thrives — you will have the opportunity to shape upcoming products that have a significant impact on the customer experience. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in creating technologies that enhance the way people interact with their devices and the world around them.