Real-Time AI/ML Vision Engineer

Socket.dev; Sunnyvale (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Apple Inc. is seeking a senior engineer to advance audio-video perception and on-device ML. You will collaborate with Multimodal GenAI researchers and engineers to build real-time systems within a large production software stack and contribute to future Apple technologies.

You will design robust APIs, optimize performance, and deploy algorithms to GPUs. The role requires hands-on coding in C/C++ or Swift, strong math, and a passion for solving challenging problems with cross-disciplinary

Qualifications

• Bachelor’s degree in Computer Vision, Computer Graphics, Machine Learning, Computer Science, Computer Engineering or related fields.
• 5+ years of relevant industry experience.
• Strong proficiency in C/C++ or Swift, writing clean and well-structured code.
• Solid mathematical foundation in linear algebra and numerical analysis.
• Experience breaking down large problems and delivering robust solutions.
• Experience developing user-facing APIs for complex systems.
• Curiosity about new technologies and flexibility to work across different layers of the software stack.

Responsibilities

• Work with Multimodal GenAI researchers and engineers to develop world-class audio-video perception and representation algorithms.
• Build, integrate and maintain complex real-time systems within a large production software stack.
• Contribute to shaping upcoming products that will delight millions of users.

Skills

C/C++

Swift

Linear algebra

Numerical analysis

Problem decomposition

API development

Education

Bachelor’s degree in related field

Tools

GPU deployment

Job description

Apple Inc. is seeking a senior engineer to advance audio-video perception and on-device ML. You will collaborate with Multimodal GenAI researchers and engineers to build real-time systems within a large production software stack and contribute to future Apple technologies.

You will design robust APIs, optimize performance, and deploy algorithms to GPUs. The role requires hands-on coding in C/C++ or Swift, strong math, and a passion for solving challenging problems with cross-disciplinary