On-Device Vision ML Systems Engineer

Apple; Sunnyvale (CA); On-site; USD 190,000 - 240,000; Full time

Job summary

Apple is seeking a Machine Learning Systems Engineer to train, evaluate, and deploy purpose-built vision models on Apple devices. You will build techniques to optimize performance, efficiency, and scalability within strict on-device constraints.

You should have a strong ML foundation, production-grade Python and C++, and experience with PyTorch and SFT pipelines for multimodal models.

Qualifications

• Bachelor's degree in Computer Science, ML, or related field.
• 3+ years of industry experience.
• Strong ML fundamentals and production-grade code experience.
• Proficiency in Python and C++ and PyTorch.
• Experience with SFT pipelines for on-device models.
• Understanding of on-device constraints for CV/ML features.

Responsibilities

• Train, evaluate, and deploy vision models on Apple hardware.
• Develop techniques to optimize model performance, efficiency, and scalability.
• Ensure seamless user experience under on-device constraints.

Skills

ML fundamentals

Python

C++

Production code

PyTorch

SFT pipelines

Multimodal LLMs

edge deployment

Education

Bachelor's degree in CS/ML or related

Tools

CoreML

RealityKit

Apple Neural Engine

Job description

Apple is seeking a Machine Learning Systems Engineer to train, evaluate, and deploy purpose-built vision models on Apple devices. You will build techniques to optimize performance, efficiency, and scalability within strict on-device constraints.

You should have a strong ML foundation, production-grade Python and C++, and experience with PyTorch and SFT pipelines for multimodal models.