Senior ML Engineer — Computer Vision & Spatial AI

Apple Inc.; Sunnyvale (CA); Hybrid; USD 185,000 - 325,000; Full time

Benefits offered by this job

Medical and dental coverage

Employee stock programs

Relocation assistance

Tuition reimbursement

Job summary

Apple Inc. in Sunnyvale, California, seeks a Senior Machine Learning Software Engineer in Computer Vision to shape spatial computing products and production-grade ML systems.

You will partner with researchers to ship world-class algorithms and create personalized, device-optimized experiences for users worldwide. The role emphasizes translating cutting-edge research into practical, scalable solutions, with a focus on efficient on-device inference and context-aware AI across iOS/macOS platforms.

Qualifications

• B.S. in CS/related field with 7+ years of software/vision experience.
• Strong experience in Python and production ML pipelines.
• Foundational ML knowledge and ability to collaborate with ML practitioners.

Responsibilities

• Collaborate with ML and system engineers and designers on rapid PoCs with novel hardware.
• Implement and optimize algorithms for efficient mobile device execution.
• Build and optimize efficient ML pipelines.
• Develop cutting-edge AI systems advancing state of the art.
• Collaborate cross-functionally to understand algorithmic constraints.
• Prepare presentations, papers, and talks to explain inventions.
• Advise on feature definitions and development directions in cross-functional groups.

Skills

Python programming

ML systems

Education

Bachelor's degree in CS/related field

Master's degree or PhD preferred

Tools

C++

Swift

Job description

Apple Inc. in Sunnyvale, California, seeks a Senior Machine Learning Software Engineer in Computer Vision to shape spatial computing products and production-grade ML systems.

You will partner with researchers to ship world-class algorithms and create personalized, device-optimized experiences for users worldwide. The role emphasizes translating cutting-edge research into practical, scalable solutions, with a focus on efficient on-device inference and context-aware AI across iOS/macOS platforms.