The engineering manager will lead efforts at the intersection of machine learning, natural language processing, and software engineering within the Input Experience NLP team. This team focuses on enhancing user experiences through advanced language understanding and personalized text composition across Apple platforms. The role involves innovating data, tooling, modeling, and evaluation pipelines to scale globally. The manager will bridge the gap between cutting-edge research and practical applications, ensuring alignment with product goals and user needs.

• Masters or PhD in Computer Science, Electrical Engineering, Physics, Statistics or related field, or equivalent practical experience.
• Prior experience with technical leadership or engineering management.
• Strong foundation in Data Science and ML Stack.
• Familiarity with product ML/NLP lifecycle.
• Familiarity with techniques such as SFT, RLHF, Data Synthesis, Parameter-Efficient Fine-Tuning, LLM-judge evaluation.
• Excellent communication skills.
• Experience with deploying large ML models for real world products and leading high-performing teams.
• Experience curating, filtering, and synthesizing high-quality training datasets at scale.
• Familiarity with ML pipelines that need to scale across languages.
• Experience developing and training models for agentic workflows, tool calling and advanced reasoning techniques.
• Familiarity with working and managing complex, large-scale codebases, with a strong emphasis on writing high-quality, maintainable, and well-tested code.
• Experience using AI-assisted development tools to accelerate experimentation, code development, and research workflows.

• Innovate and evolve data, tooling, modeling, and evaluation pipelines with agentic harnesses.
• Define and execute state-of-the-art paradigms for high-impact features and languages.
• Build and refine personalized agent trajectory pipelines for data and evaluation.
• Collaborate with cross-functional partners in human interfaces, user studies, internationalization, and system integration.
• Explore, design, and implement emerging techniques to align with product goals and privacy requirements.
• Redefine the ML development process across features and languages, focusing on continuous improvement.

• 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.