Apple · 2 days ago
ML Test & Automation Engineer
Apple is at the forefront of developing innovative technologies for future products, focusing on biometric authentication. They are seeking a talented ML Test & Automation Engineer to ensure the quality, reliability, and performance of machine learning-based biometric systems, specifically FaceID.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Ensure the quality and reliability of FaceID through both manual on-device testing and automated testing infrastructure
Design end-to-end testing flows that cover model accuracy, edge case detection, and regression testing on actual devices
Perform manual on-device UX testing to assess authentication flows and failure scenarios
Build scalable automation pipelines to reduce manual testing efforts and enable continuous validation across Apple's device portfolio
Collaborate closely with cross functional teams including deep learning, software engineering, and hardware integration
Understand model architectures and failure modes to design targeted tests that catch issues early in the development cycle
Guide FaceID development, ensuring the highest standards of security and user experience
Qualification
Required
BS and a minimum of 3 years relevant industry experience
3+ years of testing experience
Strong programming skills in Python with emphasis on test framework development
Solid understanding of machine learning concepts, model deployment, and on-device inference
Proven experience building automated testing infrastructure and CI/CD pipelines
Demonstrated ability to design comprehensive test plans covering functional, performance, and stress testing scenarios
Familiarity with version control systems (Git) and collaborative development workflows
Strong analytical and debugging skills with attention to detail in identifying edge cases and failure modes
Preferred
Experience testing computer vision or biometric authentication systems
Knowledge of iOS development
Experience with agentic testing workflows and AI-driven test generation
Familiarity with ML model optimization techniques for on-device deployment (quantization)
Experience with device farm management
Experience with cloud computing platforms (AWS) for test automation and data processing
Experience with test data generation and synthetic data creation for ML systems
Excellent communication skills and ability to work effectively across multiple teams
Self-motivated with strong problem-solving abilities and passion for quality engineering
Benefits
Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
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Trends of Total Sponsorships
2025 (6998)
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2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
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2025-12-01
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2025-09-25
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