Drimva

Apple

Applied AI Scientist - Multimodal Intelligence

$205K–$325K

Seattle, Washington +1 · Full-time · Posted Jul 27, 2026

Location
Seattle, Washington
Sunnyvale, California
Experience
Minimum 6 years of relevant experience.
Education
MS in Computer Science, Computer Vision, Machine Learning, or related technical field; preferred: PhD, or equivalent practical experience.

About the job

Conducts applied research on generative AI and multimodal foundation models, adapting research into robust solutions for Apple products in collaboration with engineering teams.

What you'll do

  • Evaluate and adapt emerging research, and conduct applied research experiments.
  • Work with engineering teams to turn promising approaches into robust solutions suited to future hardware and product needs.
  • Collaborate across Apple to develop multimodal AI product experiences.

What they ask for

  • Deep learning experience with demonstrated work in at least one multimodal systems area.
  • Proficiency in Python and a modern deep learning framework such as PyTorch or JAX.
  • Experience rapidly prototyping, reproducing, and validating research ideas.
  • MS in Computer Science, Computer Vision, Machine Learning, or a related technical field, and a minimum of 6 years of relevant experience.

Nice to have

  • PhD or equivalent practical experience in a related technical field; relevant publications or a strong record applying deep learning to real-world products.
  • Experience with foundation models, large-scale data pipelines, production model optimization, agents, or privacy-preserving/on-device machine learning.

Pay

$205,400 and $308,500 USD base salary; $216,200 and $324,800 USD base salary

Tools

Python, PyTorch, JAX

AI focus

Applied research and product development for generative AI and multimodal foundation models, including evaluating and adapting research and moving approaches toward robust deployment.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)