The Machine Learning Research Engineer will be part of the Input Experience NLP team at Apple, focusing on enhancing machine learning powered user experiences across various platforms. This role involves building and refining model pipelines to enable innovative user interactions. The team collaborates on natural language processing, machine learning, and software engineering to deliver high-quality features. Candidates will have the opportunity to work on groundbreaking NLP models and optimize them for diverse hardware and user interfaces.

• MS or PhD in Computer Science or a related field with at least 2 years of industry experience
• Strong Python programming skills with experience in developing production-quality Python modules
• Solid background in machine learning, data science, natural language processing, or statistics
• Experience building and maintaining model pipelines end-to-end, from data curation to evaluation
• Ability to design and perform experiments that bring ML and NLP research ideas to production
• Familiarity with LLMs, such as SFT, RHLF, prompt engineering, data synthesis, automatic evaluation, and RAG
• Excellent written and verbal communication skills
• History of developing in Python and/or Swift
• Record of publications, innovations, and/or leadership

• Build and iteratively refine model pipelines for machine learning driven user experiences on Apple products
• Conduct experiments and create prototypes for innovative approaches to enhance model quality
• Implement the infrastructure that integrates innovations into production pipelines
• Contribute evaluation metrics to measure progress

• 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.