Real-Time Vision & ML Engineer - Human Understanding

Apple Inc.; Sunnyvale (CA); On-site; USD 147,400 - 272,100; Full time

Benefits offered by this job

Comprehensive medical and dental coverage

Retirement benefits

Discounted products

Educational reimbursements

Employee stock purchase plan

Job summary

Apple Inc. is seeking a Computer Vision & Machine Learning Engineer in Sunnyvale, California. This role involves developing cutting-edge computer vision and machine learning algorithms for human interaction and real-time systems.

You will work on core perception technologies, human understanding algorithms, and motion synthesis systems used in Apple products. A Master's degree and experience with deep learning frameworks like PyTorch or JAX are preferred.

Compensation ranges from $147,400 to $272,100, with a comprehensive benefits package and opportunities for stock options.

Qualifications

• Master’s or equivalent practical experience in Computer Science, Computer Vision, Machine Learning, or related technical field.
• Experience in deep learning with demonstrated work in at least one area of multimodal systems.
• Proficiency in Python and in a modern deep learning framework such as PyTorch or JAX.

Responsibilities

• Develop algorithms and systems for natural human-computer interaction.
• Optimize computer vision and machine learning algorithms.
• Build motion synthesis systems and algorithms for realistic human motion generation.

Skills

Deep learning

Computer vision

Python

Rapid prototyping

Mathematics

Foundation model architectures

Collaboration

Education

Master's or equivalent practical experience in Computer Science or related field

Tools

PyTorch

JAX

Job description

Apple Inc. is seeking a Computer Vision & Machine Learning Engineer in Sunnyvale, California. This role involves developing cutting-edge computer vision and machine learning algorithms for human interaction and real-time systems.

You will work on core perception technologies, human understanding algorithms, and motion synthesis systems used in Apple products. A Master's degree and experience with deep learning frameworks like PyTorch or JAX are preferred.

Compensation ranges from $147,400 to $272,100, with a comprehensive benefits package and opportunities for stock options.