Realtime ML Engineer for Vision Pro Interfaces

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

Benefits offered by this job

Stock programs

Stock Purchase Plan

Medical coverage

Retirement benefits

Employee discounts

Education reimbursement

Job summary

Apple Inc. in Sunnyvale, CA seeks a Machine Learning Engineer to develop realtime, resource-constrained models powering Vision Pro inputs and AI features. You will prototype features end-to-end with hardware, software, and design partners, and design data collections for model development and evaluation.

The role requires 2+ years in ML model development, proficiency in Python, and experience with CNNs and compression techniques. Strong collaboration across teams is essential.

Qualifications

• 2+ years of experience building ML models, with data prep, architecture selection, training and evaluation.
• Proficiency in Python for data analysis and model development.
• Experience building realtime, resource-constrained models using CNNs and compression techniques.
• Experience using GenAI tools for software development.
• BS in CS, EE, or related field / equivalent experience.

Responsibilities

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

Skills

ML model development

Python

Cross-functional collaboration

Problem solving

CNNs

Education

BS in CS or EE

MS/PhD in CS or EE

Tools

PyTorch

TensorFlow

GenAI tools

C++

Job description

Apple Inc. in Sunnyvale, CA seeks a Machine Learning Engineer to develop realtime, resource-constrained models powering Vision Pro inputs and AI features. You will prototype features end-to-end with hardware, software, and design partners, and design data collections for model development and evaluation.

The role requires 2+ years in ML model development, proficiency in Python, and experience with CNNs and compression techniques. Strong collaboration across teams is essential.