3D Vision & On-Device ML Engineer

Apple Inc.; Sunnyvale (CA); On-site; USD 175,000 - 309,000; Full time

Benefits offered by this job

Comprehensive medical and dental care

Employee stock programs

Tuition reimbursement

Relocation assistance

Job summary

Apple Inc. in Seattle, WA is seeking an engineer specializing in computer vision and machine learning to design, train, and deploy models for real-time 3D perception on Apple devices.

You will optimize models for on-device performance, build data pipelines, run experiments, and collaborate with cross-functional teams to deliver cutting-edge 3D perception technology across Apple's ecosystem.

Qualifications

• Master's or equivalent practical experience in Computer Science, Computer Vision, Machine Learning, or related field.
• Experience in deep learning with demonstrated work in 3D vision or geometric deep learning.
• Proficiency in Python and in a modern deep learning framework such as PyTorch or JAX.
• Experience with rapid prototyping, reproduction, and validation of research ideas.
• Strong mathematical foundations in ML or CV and familiarity with foundation model architectures.
• Experience working effectively in a multi-functional, collaborative environment.

Responsibilities

• Design, train, and optimize deep learning models for 3D perception tasks on Apple devices.
• Build data pipelines, run experiments, and integrate models into real-time production systems.
• Collaborate with cross-functional teams to ship core 3D perception technologies across Apple products.

Skills

Master's degree

3D vision / geometric deep learning

Python

PyTorch or JAX

Mathematical foundations in ML/CV

Foundation model architectures

Team collaboration

Education

Master's degree or equivalent

PhD or equivalent practical experience

Tools

C++ proficiency

Job description

Apple Inc. in Seattle, WA is seeking an engineer specializing in computer vision and machine learning to design, train, and deploy models for real-time 3D perception on Apple devices.

You will optimize models for on-device performance, build data pipelines, run experiments, and collaborate with cross-functional teams to deliver cutting-edge 3D perception technology across Apple's ecosystem.