Apple Inc.
The Video Engineering organization is at the forefront of developing innovative technologies for future Apple products, with a strong focus on biometric authentication. Our team has contributed to impactful projects such as FaceID for iOS and OpticID for Apple Vision Pro. We are currently looking for a talented ML Test & Automation Engineer to ensure the quality, reliability, and performance of Apple's machine learning based biometric systems that secure and enhance the lives of millions of users around the world.
Description Video Engineering DAQ (Data Analytics and Quality) team is seeking a highly motivated and technically skilled ML Test & Automation Engineer to ensure the quality and reliability of FaceID through both manual on-device testing and automated testing infrastructure. You will design end-to-end testing flows that cover model accuracy, edge case detection, and regression testing on actual devices, while performing manual on-device UX testing to assess authentication flows and failure scenarios. You will build scalable automation pipelines to reduce manual testing efforts and enable continuous validation across Apple's device portfolio. By collaborating closely with cross functional teams including deep learning, software engineering, and hardware integration, you will understand model architectures and failure modes to design targeted tests that catch issues early in the development cycle. Your insights will directly guide FaceID development, ensuring the highest standards of security and user experience. A strong background in both software engineering and machine learning is essential to bridge the gap between model development and production deployment.
Minimum Qualifications
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 Qualifications
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
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $141,800 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
Apple accepts applications to this posting on an ongoing basis.
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Description Video Engineering DAQ (Data Analytics and Quality) team is seeking a highly motivated and technically skilled ML Test & Automation Engineer to ensure the quality and reliability of FaceID through both manual on-device testing and automated testing infrastructure. You will design end-to-end testing flows that cover model accuracy, edge case detection, and regression testing on actual devices, while performing manual on-device UX testing to assess authentication flows and failure scenarios. You will build scalable automation pipelines to reduce manual testing efforts and enable continuous validation across Apple's device portfolio. By collaborating closely with cross functional teams including deep learning, software engineering, and hardware integration, you will understand model architectures and failure modes to design targeted tests that catch issues early in the development cycle. Your insights will directly guide FaceID development, ensuring the highest standards of security and user experience. A strong background in both software engineering and machine learning is essential to bridge the gap between model development and production deployment.
Minimum Qualifications
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 Qualifications
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
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $141,800 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
Apple accepts applications to this posting on an ongoing basis.
#J-18808-Ljbffr