Real-Time Computer Vision ML Engineer

Apple; Sunnyvale (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Apple’s Human Interface Devices (HID) team is seeking a Machine Learning Engineer to build realtime, resource-constrained models for Vision Pro input and AI-powered experiences.

You’ll work across signal processing, machine learning, and interaction algorithms with partners in sensors, data, software, and design to deliver intuitive user interfaces and intelligence features for next-generation devices.

Qualifications

• 2+ years building ML models with data prep, architecture selection, training and evaluation (PyTorch or TensorFlow).
• Proficiency in Python for data analysis and model development.
• Experience designing realtime, resource constrained models (CNNs) and compression techniques.
• Experience with genAI tools for software development.
• Able to communicate clearly and collaborate with cross-functional teams.
• BS in CS/EE or related field.

Responsibilities

• Prototype and define features end-to-end with HW, SW, and design partners.
• Design data collections and synthetic data generation for model development and evaluation.
• Define KPIs to evaluate UX impact of model performance.
• Develop realtime, resource constrained models powering user input and intelligence features.
• Collaborate with cross-functional teams to root cause issues across the feature stack.
• Communicate user impacts of technical challenges to stakeholders.

Skills

Python

ML models

Data analysis

CNNs

Model compression

GenAI tools

Communication

Problem solving

CS/EE degree

Education

BS in Computer Science or Electrical Engineering

MS/PhD in CS/EE (preferred)

Tools

PyTorch

TensorFlow

Claude Code

Cursor

Codex

Job description

Apple’s Human Interface Devices (HID) team is seeking a Machine Learning Engineer to build realtime, resource-constrained models for Vision Pro input and AI-powered experiences.

You’ll work across signal processing, machine learning, and interaction algorithms with partners in sensors, data, software, and design to deliver intuitive user interfaces and intelligence features for next-generation devices.