Multimodal Image/Video Generation Researcher

Apple Inc.

Seattle (WA)

On-site

USD 184,700 - 324,800

Full time

14 days+

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Benefits offered by this job

Medical & Dental
Retirement benefits
Employee stock plan
Relocation support

Job summary

Apple Inc. is seeking a researcher with a strong technical background in image/video generation and multimodal foundation models to advance our AI capabilities.

You will explore foundational models for generation, editing, animation, and related tasks across Apple products, collaborating with world‑class engineers and researchers. In this role, you will develop and evaluate model architectures, transfer pioneering research to production‑ready technologies, and translate product requirements into

Qualifications

  • PhD, MS or equivalent experience required.
  • Strong background in ML/DL and statistical modeling.
  • Experience in computer vision tasks such as object detection or VQA.
  • Experience with image generation models (VAE, GAN, diffusion).
  • Proficiency in PyTorch, Jax or TensorFlow.
  • Proficiency in Python, Go, Java or C++.

Responsibilities

  • Develop, fine-tune, and evaluate image generation and editing models.
  • Develop domain-specific models for Apple AI products.
  • Implement unified multimodal foundation models for vision and generation.
  • Translate product requirements into modeling and engineering tasks.

Skills

Machine learning
Deep learning
Statistical modeling
Computer vision

Education

PhD, MS or equivalent experience

Tools

PyTorch
Jax
TensorFlow
Python
Go
Java
C++

Job description

Apple Inc. is seeking a researcher with a strong technical background in image/video generation and multimodal foundation models to advance our AI capabilities.

You will explore foundational models for generation, editing, animation, and related tasks across Apple products, collaborating with world‑class engineers and researchers. In this role, you will develop and evaluate model architectures, transfer pioneering research to production‑ready technologies, and translate product requirements into

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