Machine Learning Test and Automation Engineer, Graphics, Games, and ML

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified checked Jun 13, 2026

Salary

$121K-$214K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

44% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Machine Learning Test and Automation Engineer, Graphics, Games, and ML Cupertino, United States of America The Graphics, Games & Machine Learning (GGML) team is looking for a Machine Learning Test and Automation Engineer to help deliver next-generation Apple Intelligence SW features on both On-Device and Private Cloud Compute. In this role, you will work hand-in-hand with GGML software developers and cross-functional ML teams during all project phases, collaborating on feature definition, quality plan, and test development. We're looking for someone who is excited to explore new ideas, challenge assumptions, and create innovative approaches to validating complex ML systems. You bring curiosity, creativity, and a passion for quality - and you're energized by the opportunity to work on technologies that reach millions of users while preserving their privacy. As an Automation Engineer, you will design and build scalable test solutions that validate both on-device and distributed Apple Intelligence inference. Your work will focus on ensuring the correctness, reliability, and performance of our inference runtime software. You will develop functional and performance tests that push our systems to their limits, helping us deliver fast, efficient, and trustworthy ML-based experiences across Apple's ecosystem. Build scalable test solutions for validating ML-based inferences on Apple's hardware Design and maintain CI/CD pipelines to accelerate presubmissions and improve integration speed Help define and enforce best practices for automated testing within a high-velocity ML development lifecycle Partner closely with cross-functional teams, including ML engineering, infrastructure, and Apple Services Engineering Team to identify gaps in coverage and streamline testing

Read the full description at jobs.apple.com. FewerJobs shows a preview and links to the original posting.