Drimva

Apple

Sr. Computer Vision and Machine Learning Engineer, Creativity Apps

$175K–$325K

Cupertino, California +1 · Senior · Full-time · Posted Oct 24, 2026

Location
Cupertino, California
Seattle, Washington
Experience
4+ years of industry experience delivering products in generative AI, machine learning, or computer vision.
Education
MS in Computer Science, Machine Learning, or a related field; PhD preferred.

About the job

Develops agentic AI features and computer vision models for Apple’s creative applications, from research and evaluation through integration and delivery.

What you'll do

  • Design agentic workflows, including tool contracts, schemas, and orchestration logic.
  • Build vision models and evaluation frameworks for agentic workflows.
  • Integrate models and workflows with client teams and deliver ML-powered features for creators.

What they ask for

  • MS in Computer Science, Machine Learning, or a related field.
  • 4+ years of industry experience delivering products in generative AI, machine learning, or computer vision.
  • Experience building and evaluating LLM/VLM-powered agents, including tool use, multi-step reasoning, planning, and context management.
  • Hands-on experience building, training, and deploying transformer-based vision models, GANs, or related methods; strong ML/deep learning knowledge and programming skills in Python and/or C++ with a framework such as PyTorch, JAX, or TensorFlow.

Nice to have

  • PhD in Computer Science, Machine Learning, or a related field.
  • Production agentic systems experience, foundation-model fine-tuning, resource-constrained model optimization, or a strong patent and publication record.

Pay

$184,700 and $324,800 USD base salary; $175,000 and $308,500 USD base salary

Tools

Python, C++, PyTorch, JAX, TensorFlow, Core ML, Swift, iOS/macOS

AI focus

Builds and evaluates agentic workflows and vision models for creative applications, including LLM/VLM-powered agents, tool use, planning, and model deployment.

Model-written summary · the original posting is authoritative

First seen Oct 24, 2026 · Last verified Nov 4, 2026 (UTC)