Senior Generative CV/ML Engineer for Vision Systems

Apple, Inc.; Sunnyvale (CA); On-site; USD 216,000 - 325,000; Full time

Job summary

Apple, Inc. seeks a Senior Computer Vision and Machine Learning (CVML) Generalist Engineer to join a team building generative ML systems for image and video generation focused on human subjects.

You will work in a fast-paced environment and scale through smart engineering and AI-driven tools, collaborating across teams to translate research into product-ready solutions. The role emphasizes owning complex end-to-end systems, strong CV and ML foundations, and proactive communication across the

Qualifications

• BS/MS in Computer Science or a related field; 5+ years of relevant experience or equivalent.
• High agency: take ownership and drive work forward independently.
• Excellent problem-solving, critical-thinking, and communication skills.
• Strong knowledge of ML and deep learning foundations.

Responsibilities

• Build and improve image/video generation models and systems for human subjects.
• Own vision-based systems end to end from prototype to production.
• Develop new technology and maintain existing systems using AI tooling to accelerate work.
• Collaborate with researchers, engineers, and cross-functional partners to turn research into product-ready solutions.

Skills

Python

C++

PyTorch

JAX

LLM/VLM agents

ML fundamentals

Camera/vision knowledge (CV)

High agency

Problem solving

Communication

Education

BS/MS in Computer Science or related field

PhD in Computer Science / ML or related field

Tools

PyTorch

JAX

Job description

Apple, Inc. seeks a Senior Computer Vision and Machine Learning (CVML) Generalist Engineer to join a team building generative ML systems for image and video generation focused on human subjects.

You will work in a fast-paced environment and scale through smart engineering and AI-driven tools, collaborating across teams to translate research into product-ready solutions. The role emphasizes owning complex end-to-end systems, strong CV and ML foundations, and proactive communication across the