Apple
AIML - Senior Engineering Manager, Summarization
Seattle, Washington, United States
Machine Learning and AI
Summary
Apple is where individual imaginations gather together, contributing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience, we deliver results by strengthening each other’s ideas. In the Siri and Information Intelligence organization, we work hard to bring the best user experiences powered by Apple Intelligence. One integral part of the user experience is providing customizable summaries for Apple users’ multiple content consumption for both on-device personal content and on-server world knowledge in Siri, Safari, and many other 1P and 3P Apps in Apple’s ecosystem across different platforms. 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. 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. 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 Exceptional verbal and written communication skills to lead Excellent product vision and sound business acumen Strong engineering leadership and fundamentals Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. 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.
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Apple is where individual imaginations gather together, contributing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience, we deliver results by strengthening each other’s ideas. In the Siri and Information Intelligence organization, we work hard to bring the best user experiences powered by Apple Intelligence. One integral part of the user experience is providing customizable summaries for Apple users’ multiple content consumption for both on-device personal content and on-server world knowledge in Siri, Safari, and many other 1P and 3P Apps in Apple’s ecosystem across different platforms. 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. 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. 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 Exceptional verbal and written communication skills to lead Excellent product vision and sound business acumen Strong engineering leadership and fundamentals Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. 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.
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