Machine Learning Engineer, Computer Vision - Strategic Data Solutions
Apple Austin, TX Full-time 3/31/2026
Master's Entry-LevelPhD Entry-LevelUndergraduate with 2+ Years of Experience
Approval 98.9%•Total filings 5,543•New hires 2,691•
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•FY 2025Job Description
Apple's Strategic Data Solutions team is seeking a Computer Vision Machine Learning Engineer to develop analytical solutions aimed at preventing fraud while enhancing customer experience. The role involves building end-to-end solutions, analyzing data, and deploying models in a real-time decisioning platform.
Requirements
- M.S. or Ph.D. in Computer Science, Machine Learning, Engineering, or related field with experience in computer vision or machine learning or equivalent 2 years of proven experience
- Practical experience and theoretical understanding of computer vision methods or deep learning models
- Ability to code and debug in a general programming language such as Python or Java
- Ability to use a querying language such as SQL to extract insights from data
- Effective communication skills to translate complex concepts into business-focused solutions
Responsibilities
- Translate business needs into technical solutions
- Explore tabular and image datasets to identify patterns of fraudulent behavior
- Develop and deploy updated models to combat adversarial attacks
- Analyze data and communicate findings to various technical audiences
- Coordinate with engineers to deploy analytics to a real-time decisioning platform
- Identify and implement new data science tools to enhance team capabilities
Benefits
- Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.
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