Generative AI Scientist - Multimodal Foundation Models

Apple, Inc.; Seattle (WA); In loco; USD 205.000 - 309.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical and dental coverage

Employee stock programs

Tuition reimbursement

Relocation assistance

Descrizione del lavoro

Apple Inc. in Seattle, WA is seeking an Applied AI Scientist to advance generative AI and multimodal foundation models. You will evaluate research, run applied experiments, and collaborate with engineering teams to turn promising ideas into robust, production-ready solutions for Apple devices and experiences.

The role sits within the Multimodal Intelligence Team, focusing on language and vision capabilities, data curation, and scalable model deployment across hardware platforms.

Competenze

• Experience in deep learning with multimodal systems (vision, language, video).
• Proficiency in Python and modern frameworks (PyTorch/JAX).
• MS in CS/ML or related field and minimum 6 years experience.
• PhD or equivalent preferred with publications or production ML deployment experience.

Mansioni

• Evaluate and adapt emerging research in generative AI and multimodal foundation models.
• Conduct applied research experiments and validate ideas.
• Collaborate with engineering teams to translate promising approaches into robust, deployable solutions.

Conoscenze

Multimodal systems

Deep learning

Python

Rapid prototyping

Collaboration

Communication

Formazione

MS in Computer Science / Computer Vision / Machine Learning

PhD (preferred) in CS/ML or related field

Strumenti

PyTorch

JAX

Descrizione del lavoro

Apple Inc. in Seattle, WA is seeking an Applied AI Scientist to advance generative AI and multimodal foundation models. You will evaluate research, run applied experiments, and collaborate with engineering teams to turn promising ideas into robust, production-ready solutions for Apple devices and experiences.

The role sits within the Multimodal Intelligence Team, focusing on language and vision capabilities, data curation, and scalable model deployment across hardware platforms.