AIML - Senior Engineering Manager, Summarization

Company : Apple
Location : Seattle, WA, 98127
Posted Date : 24 September 2025
Job Details
Seattle, Washington, United States Machine Learning and AI
Description
Drive E2E R&D and engineering to generate high-quality summaries and experiences for Apple users. This includes on-device LLM models for personal content summarization across 1P and 3P apps, and powerful summarization models on Apple’s Private Cloud Compute servers. In addition, improve the summarization models’ quality for world knowledge-seeking questions and Safari pages to provide accurate answers and highlight web page gists in real-time. Lead the team to develop SOTA LLM-based generative models, groundedness models, and safety models for accurate, grounded, concise, and safe summaries. Develop sophisticated on-device and on-server software frameworks for context integration fast and cost-efficient LLM-based model inference. Integrate the Apple ecosystem with Apple’s LLM infrastructure and generative models to deliver delightful user experiences. Devise the product vision and strategy and execute the plan to deliver the highest quality end-user experience. Collaborate with various organizational partners to profoundly impact billions of Apple users worldwide.
Minimum Qualifications
- 5+ years of experience in leading engineering/applied research/ML experiences in natural language processing, SOTA generative AI models
- Proven record of consistent delivery of technology/products across the full Machine Learning life cycle
- MS or Ph.D. in Computer Science, Machine Learning, information retrieval, data mining, or a related field
Preferred Qualifications
- Strong background and experience in Machine Learning, NLP, and RAG.
- Strong engineering and R&D experience in LLM post-training, advanced RL-based methods to improve LLM models’ safety and quality using RLHF/RLAIF, reward model, advanced RL policy optimization algorithms, cutting-edge hallucination reduction methods, and their engineering implementation, hands-on experience to develop and ship RL based models with high availability, low latency, robustness, and stability.
- Exceptional verbal and written communication skills to lead
- Excellent product vision and sound business acumen. Ability to manage long-term strategy and short-term deliverables.
- Strong engineering leadership and fundamentals.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
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