Applied Machine Learning Researcher - Multimodal Foundation Models

Apple • Seattle, WA

74d

About The Position

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple products & experiences! We are continuously advancing the state of the art in Computer Vision and Machine Learning, touching all aspects of language and multimodal foundation models, from data collection, data curation to modeling, evaluation and deployment. As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming research directions in the field of multimodal foundation models that will inspire future Apple products. You will be working alongside highly accomplished and deeply technical scientists and engineers to develop state of the art solutions for challenging problems. This is a unique opportunity to be part of what forms the future of Apple products that will touch the lives of many people.

Requirements

• Master's or PhD, or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or related technical field.
• Track record of translating research into practical applications either through published work or industry experience.
• Deep expertise in multimodal foundation models, with a focus on practical applications.
• Strong applied research experience in at least one major area of model development (data curation, pre-training, fine-tuning, alignment, or evaluation), particularly as it applies to multimodal systems.
• Experience with large-scale training pipelines, including working with large datasets and scaling models across distributed systems.
• Experience bridging research ideas with production constraints.

Responsibilities

• Evaluate and adapt emerging research in generative AI and multimodal foundation models.
• Conduct applied research experiments.
• Work with engineering teams to transform promising approaches into robust solutions.
• Consider future hardware design and product needs in research applications.
• Engage and collaborate with several teams across Apple to deliver the best products.

What This Job Offers

• Industry: Computer and Electronic Product Manufacturing
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees