Senior Staff Machine Learning Engineer, Search & Knowledge Platform

Apple

Seattle, WA

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JOB DETAILS

SKILLS

Apple, Apple Siri, Artificial Intelligence (AI), Business Skills, Cloud Computing, Communication Skills, Computer Science, Computer Servers, Data Mining, Ecosystems, High Availability, Information Retrieval, Leadership, Machine Learning, Natural Language Processing (NLP), Optimization Algorithm, Platform for Privacy Preferences, Presentation/Verbal Skills, Private Cloud, Product Development, Product Strategy, Research & Development (R&D), Safari Browser, Safety/Work Safety, Team Lead/Manager, Technical Delivery, User Interface/Experience (UI/UX), Writing Skills

LOCATION

Seattle, WA

POSTED

11 days ago

**Weekly Hours:** 40 **Role Number:** 200658003-3337 **Summary** Apple is where individual imaginations gather together, contributing to the values that lead to great work. Every The AI, Search & Knowledge Platforms team builds amazing products and services for Apple's customers while serving as a foundational partner to teams across Apple. The team delivers world-class AI, search, and knowledge systems powering Siri, Apple Intelligence, Safari, and iMessage, and operates the foundational platforms and infrastructure that keep these intelligent experiences running at hyperscale. You will lead the strong team of MLE, SWE, and data engineers responsible for delivering efficient and effective Generative AI models to build and improve the summarization capabilities across different data types. **Description** In this role, you'll 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** + 8+ 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.

About the Company

Apple

INDUSTRY

Other/Not Classified

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