Role Number : 200601297-3337
Summary
We are hiring a researcher with a strong technical background in Image / Video generation and editing, as well as Multimodal Foundation Models. You will play a critical role in the research and development of multimodal foundation models for image / video / 3D generation, editing, animation, and many more. As a member of the team, you will have the opportunity to develop fundamental model capabilities, collaborate with team members with diverse backgrounds to work on ambitious projects, and collaborate broadly across Apple with world-class engineers and researchers to advance our products and delight millions of users.
Description
As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, computer vision / graphics experience, and solid engineering skills in creating outstanding model capabilities and product features. This role will have the following responsibilities :
Minimum Qualifications
PhD, MS or equivalent experience
Experience in machine learning, deep learning and statistical modeling.
Experience in developing models for computer vision tasks, such as object detection, visual question answering.
Experience in image generation models, such as VAE, GAN, and diffusion models
Proficiency in one of the following deep learning frameworks : PyTorch, Jax, Tensorflow
Proficiency in one of following languages : Python, Go, Java, C+ Preferred Qualifications
Experience in developing state-of-the-art image generation / editing models.
Good interpersonal skills and team player.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant () .
Machine Learning Researcher • Seattle, WA, United States