Drimva

Apple

Machine Learning Engineer, Video Engineering

$185K–$325K

Sunnyvale, California · Full-time · Posted May 28, 2026

Experience
10+ years developing and shipping machine learning models, with a focus on computer vision or generative AI.
Education
Bachelor's degree in Computer Science, Electrical/Computer Engineering, or a related field.

About the job

Develop and ship machine-learning models for spatial media, 3D content creation, video processing, and scene understanding, taking research ideas into Apple products.

What you'll do

  • Research and develop ML models for 3D content creation, spatial video processing, and scene understanding.
  • Train and evaluate large-scale generative models, then optimize them for on-device deployment.
  • Present and demonstrate work to cross-functional teams and leadership.

What they ask for

  • Bachelor's degree in Computer Science, Electrical/Computer Engineering, or a related field.
  • 10+ years of experience developing and shipping machine learning models, focused on computer vision or generative AI.
  • Expert-level Python and PyTorch or equivalent ML frameworks; strong experience with diffusion models.
  • Knowledge of 3D computer vision and graphics, C++ for performance-critical components, and ability to use AI coding assistants and LLM-based tools.

Nice to have

  • MS or PhD in a related field; publications in top-tier ML or vision venues.
  • Experience with video diffusion, 3D Gaussian Splatting, neural radiance fields, distributed training, on-device ML deployment, or shipping consumer ML features.

Pay

$184,700 and $324,800 USD base salary

Tools

Python, PyTorch, C++, diffusion models

AI focus

Develop generative AI and computer-vision models for spatial media, 3D content creation, immersive video, and scene reconstruction; train models and optimize them for on-device deployment. Use AI coding assistants and LLM-based tools to accelerate workflows.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)