Vision AI Software Engineer – On-Device ML & UX

Apple, Inc.

Sunnyvale (CA)

On-site

USD 185,000 - 278,000

Full time

2 days ago
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Benefits offered by this job

Medical and dental coverage
Retirement benefits
Stock programs
Tuition reimbursement
Relocation assistance

Job summary

Apple is seeking a Software Development Engineer for Vision Products Software in Sunnyvale, CA. You will work across the stack from system software to large foundation models, crafting user experiences that leverage sensing, AI, and privacy-focused design across Apple devices.

Collaborate with cross-functional teams to evaluate, refine, and deploy features powered by LLMs, manage signals, and drive end-to-end experience. Strong Swift skills and systems thinking are essential for success.

Qualifications

  • Design and own evaluation infrastructure for LLM-powered features.
  • Use evaluations and experimentation to optimize performance.
  • Turn raw signals into structured context for models.
  • Represent work in XF forums to drive direction and decisions.

Responsibilities

  • Design and own evaluation infrastructure that measure effectiveness of LLM powered features.
  • Utilize evaluations and experimentation to make technical tradeoffs and optimize performance.
  • Work with platform teams to turn raw signals into structured context as input for models.
  • Represent your work in XF forums to drive direction and decisions

Skills

Swift
Data structures
Memory management
Concurrency
Systems thinking
Dialog-driven UX requirements
Cross-functional collaboration
Technical communication
Software development

Education

Bachelor’s degree in related field

Job description

Apple is seeking a Software Development Engineer for Vision Products Software in Sunnyvale, CA. You will work across the stack from system software to large foundation models, crafting user experiences that leverage sensing, AI, and privacy-focused design across Apple devices.

Collaborate with cross-functional teams to evaluate, refine, and deploy features powered by LLMs, manage signals, and drive end-to-end experience. Strong Swift skills and systems thinking are essential for success.

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