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