Machine Learning Algorithm Validation Engineer jobs in United States
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Apple · 2 months ago

Machine Learning Algorithm Validation Engineer

Apple is seeking a highly motivated and experienced Machine Learning Algorithm Validation Engineer to join their Product Systems Quality team. The role involves leading the design and implementation of evaluation pipelines for Apple’s machine learning systems, focusing on enhancing model performance and user experience through collaboration with various engineering teams.

AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

Lead the design and implementation of evaluation pipelines for Apple’s ML systems
Solve complex problems at the intersection of model performance, real-world constraints, and user impact
Design and execute live test procedures, aggressor searches, user studies, and annotation pipelines to improve and influence algorithm performance and design
Use data science techniques to design experiments that expose vulnerabilities in the models and investigate patterns of failure
Evaluate and represent the true customer experience while using a deep understanding of the various components within the models to test comprehensively and efficiently
Work with hardware and software engineering teams to consider the system design and external factors that influence model performance
Work through every step of the product development cycle to make Apple products more reliable, flexible, and easy to use

Qualification

Machine LearningComputer VisionPythonStatistical Experimental DesignPyTorchTensorFlowData AnalysisInclusivityCollaborationCommunication

Required

Bachelor's degree or equivalent in Computer Science, Machine Learning, Electrical Engineering, Statistics, or related field
A minimum of 3 years of hands-on industry experience developing or validating ML/AI systems
Strong programming skills and hands-on experience with Python
Experience in testing products utilizing computer vision, computational photography, generative AI, machine learning, or related areas
Ability to communicate effectively and collaborate with partner teams
Committed to encouraging an open and inclusive work environment

Preferred

Master's or PhD in Machine Learning, Computer Vision, Statistics, or related field
5 or more years of ML industry experience, including time spent debugging or improving deployed models
Strong background in statistical experimental design and hypothesis testing
Hands-on experience with PyTorch, TensorFlow, or JAX—including model analysis and interpretability tools
Data analysis, visualization, and reporting experience with tools such as Tableau or Superset
Understanding of how to test and quantify performance of sensing technologies such as camera, IMU, capacitive, environmental, light, motion, radar, optical, acoustic, and evaluate user impact and performance

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 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)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)

Funding

Current Stage
Public Company
Total Funding
$5.67B
Key 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

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Tim Cook
CEO
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Craig Federighi
SVP, Software Engineering
Company data provided by crunchbase