The Machine Learning Engineer will be part of the Input Experience NLP team at Apple, focusing on developing next-generation ML models to enhance user experience across languages and writing styles. This role involves building and refining training and evaluation pipelines while integrating the latest innovations from the ML community. The engineer will work collaboratively with various teams to create features that reach everyday users. The position emphasizes a commitment to privacy and the continuous improvement of Apple Intelligence capabilities.

• MS or PhD in Computer Science or related field
• Strong Python programming skills, with experience developing production-quality Python modules
• Experience building and maintaining model pipelines end-to-end, from data curation to evaluation
• Solid background in machine learning, data science, natural language processing, or statistics
• Familiarity with LLMs, such as SFT, RHLF, prompt engineering, data synthesis, automatic evaluation, and RAG
• Expertise in MLOps and a passion for software quality, based on CI/CD principles
• Excellent written and verbal communication skills
• Background in linguistics, fluency in multiple languages, or a passion for scaling NLP features for global audiences
• History of developing Python packages and supporting users and other teams

• Develop the next generation of ML models to better serve a diverse customer base.
• Build, run, and refine training and evaluation pipelines for Apple Intelligence.
• Enable next-generation AI applications by building toolkits and workflows.
• Design abstractions and implement algorithms for efficient data synthesis and model evaluation.
• Contribute to building robust modeling pipelines for rapid iteration and continuous improvement.
• Define and refine new features to expand Apple Intelligence's capabilities.

• 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.