On-Device AI/ML Engineer – Multimodal Vision

Apple Inc.; Sunnyvale (CA); On-site; USD 150,000 - 278,000; Full time

Benefits offered by this job

Medical and dental coverage

Stock programs

Relocation support

Job summary

Apple Inc. in Sunnyvale, California is seeking a seasoned ML/CV engineer to advance on-device perception and real-time multimodal AI for future products.

You will collaborate across graphics, vision and ML teams to architect and implement production systems with high performance. The role emphasizes deep learning inference, optimization for mobile hardware, and close work with GenAI researchers to deliver capabilities for digital humans, health and AI.

Qualifications

• Bachelor’s degree in Computer Vision, Computer Graphics, ML, CS, or related field.
• 5+ years of relevant industry experience.
• Strong proficiency in C/C++ or Swift, with clean, well-structured code.
• Solid foundation in linear algebra and numerical analysis.
• Experience breaking down large problems and delivering robust solutions.
• Curiosity about new technologies and ability to work across software layers.

Responsibilities

• Design and drive software architecture for production systems and internal tools.
• Implement and optimize performance-critical algorithms for mobile and embedded platforms.
• Develop and integrate agentic workflow frameworks with tool calling components.
• Integrate multimodal models with audio, image and video for on-device inference.
• Build tooling for visualization, logging, debugging and evaluation.
• Integrate real-time perception, 3D representation and animation into the software stack.

Skills

C/C++

Swift

Mathematics

Problem solving

Curiosity

Education

Bachelor's degree in Computer Vision, Computer Science, or related field

Tools

Foundation Models

MLX

ARKit

REKit

Job description

Apple Inc. in Sunnyvale, California is seeking a seasoned ML/CV engineer to advance on-device perception and real-time multimodal AI for future products.

You will collaborate across graphics, vision and ML teams to architect and implement production systems with high performance. The role emphasizes deep learning inference, optimization for mobile hardware, and close work with GenAI researchers to deliver capabilities for digital humans, health and AI.