On-Device Vision & ML Systems Engineer

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

Job summary

Apple Inc. in Sunnyvale, CA, is seeking a Machine Learning Systems Engineer for the Video Computer Vision group to ship on-device computer vision features on Apple devices.

You will build software infrastructure to connect multimodal models with production systems. The role focuses on optimizing inference latency, memory, and power on Apple silicon, collaborating with algorithm researchers and hardware teams to deliver reliable, scalable CV/ML solutions.

Qualifications

• Bachelor’s degree in CS/ML or related field.
• 3+ years of relevant industry experience.
• Production-grade CV/ML code on embedded platforms.
• Strong Python and C++ programming skills.
• Experience with PyTorch and ML lifecycle.
• SFT pipelines for vision/multimodal models.

Responsibilities

• Develop on-device software bridging multimodal AI models with production systems.
• Optimize on-device inference latency, memory footprint, and computational efficiency of CV/ML models.
• Benchmark, profile, and evaluate power consumption and thermal performance on Apple silicon.
• Engage with cross-functional teams to understand and influence requirements and design maintainable CV systems.
• Design experiments to understand quality and deployment tradeoffs.
• Debug concurrent systems on embedded devices and develop debugging tools.

Skills

Python

C++

PyTorch

Edge deployment

Multimodal LLMs

System debugging

Education

Bachelor’s degree in CS/ML or related

Tools

CoreML

Apple Neural Engine

Job description

Apple Inc. in Sunnyvale, CA, is seeking a Machine Learning Systems Engineer for the Video Computer Vision group to ship on-device computer vision features on Apple devices.

You will build software infrastructure to connect multimodal models with production systems. The role focuses on optimizing inference latency, memory, and power on Apple silicon, collaborating with algorithm researchers and hardware teams to deliver reliable, scalable CV/ML solutions.