The Answers, Knowledge and Information team is seeking a senior Machine Learning Engineer to enhance personalized search applications while prioritizing user privacy. This role involves developing methodologies for data generation and quality assessment, as well as building scalable systems for evaluating search experiences across Apple products. The engineer will collaborate with partner teams to define requirements and drive solutions for improving search quality. This position offers the opportunity to shape the future of information access on Apple devices.

• 6+ years of industry experience in building Machine Learning or ML evaluation systems at scale.
• Strong software engineering skills in mainstream programming languages, such as Python and C/C++.
• Strong communication skills and ability to drive solutions in collaboration with partner teams.
• Bachelor's degree in Computer Science, Engineering, Statistics, or a related field.
• Experience in designing and building production ML systems and applications in search, NLP, recommendation systems, or information retrieval.
• Experience in data collection, data generation, and/or data quality assessment of language, image, or multi-modal data.
• Ability to quickly prototype ideas and solutions, and perform critical analysis.
• Strong skills for quality metrics development, interpretation of evaluations, and presentation to an executive audience.
• An advanced degree (Master's or Ph.D.) in Computer Science, Engineering, Statistics, or a related field, or equivalent industry work experience.

• Design and implement novel data generation and data quality assessment methods to support modeling and evaluation of personal Q&A.
• Build scalable, automated systems for large scale, end-to-end evaluation of models and search powered systems.
• Design and implement offline and online metrics to assess product and component level quality for personal Q&A.
• Collaborate with partner teams to define data and evaluation requirements and priorities, and to explore opportunities for enhancements to the Personal Q&A stack.
• Develop long-term technical vision for Personal Q&A quality; identify problem areas and drive solutions as part of a larger roadmap.

• 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.