Machine Learning Engineer • Senior

Who you are

You are an experienced Machine Learning Engineer with a strong background in camera and image sensor technologies. With a Bachelor's degree in Computer Science, Electrical Engineering, Physics, or a related field, you have a solid foundation in the principles of machine learning and computer vision. You possess hands-on experience with Python programming and deep learning frameworks like PyTorch, enabling you to tackle complex challenges in camera technology.

Your expertise extends to applying deep learning to various computer vision tasks, such as object recognition, image segmentation, inpainting, and anomaly detection. You are familiar with generative AI and reinforcement learning, which enhances your ability to innovate in the field of camera hardware. You thrive in collaborative environments, working closely with hardware, software, and image processing specialists to redefine the camera experience for millions of users.

What you'll do

As a Machine Learning Engineer in the Camera Hardware Engineering group, you will be responsible for the research, design, development, testing, and qualification of camera hardware for Apple products. You will lead ongoing design evaluations, benchmarking, and characterization of Apple camera products, ensuring they meet the highest standards of quality and performance. Your role will involve collaborating with cross-functional teams to integrate machine learning algorithms into camera systems, enhancing their capabilities and user experience.

You will engage in continuous improvement initiatives, leveraging your knowledge of machine learning principles to optimize camera performance and functionality. Your contributions will directly impact the development of cutting-edge camera technologies that redefine photography for users worldwide. You will also mentor junior engineers, sharing your expertise and fostering a culture of innovation within the team.

What we offer

Apple offers 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 photography. The company values diversity and inclusion, providing equal opportunities for all employees. You will be part of a team that is passionate about pushing the boundaries of camera technology, making a meaningful impact on millions of users globally.