Machine Learning Test and Automation Engineer, Graphics, Games, and ML
Apple - Cupertino, United States of America
Posted Apr 24, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- 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
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