Senior Staff Machine Learning Engineer, Apple Search & Knowledge Platforms
Apple· Machine Learning and AI
Santa Clara, CA, Seattle, WA$216.2k - $394kFull-timePosted 6mo ago
About the role
Lead a cross-disciplinary team to deliver Generative AI models and summarization capabilities across Apple’s data types and platforms. Drive end-to-end R&D and engineering for on-device and on-server LLM-based summarization, groundedness and safety models, and fast, cost-efficient inference within Apple’s ecosystem.
Responsibilities
- 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.
- Drive E2E R&D and engineering to generate high-quality summaries and experiences for Apple users, including on-device LLM models for personal content summarization across 1P and 3P apps and on Apple’s Private Cloud Compute servers.
- Improve 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 product vision and strategy and execute plans to deliver the highest quality end-user experience.
- Collaborate with organizational partners to impact billions of Apple users worldwide.
Qualifications
- 8+ years of experience in leading engineering/applied research/ML experiences in natural language processing, SOTA generative AI models
- MS or Ph.D. in Computer Science, Machine Learning, information retrieval, data mining, or a related field
Skills
Required:Natural Language Processing (NLP)Reinforcement Learning from Human Feedback (RLHF/RLAIF)LLM post-trainingSafety and grounding modelsLeadership and communicationProduct vision and strategy
Benefits
- Comprehensive medical and dental coverage
- retirement benefits
- discounted products and free services
- reimbursement for certain educational expenses
- discretionary bonuses or commission payments
- relocation assistance
- Apple shareholder opportunities through stock programs
- employee stock purchase plan
Last updated Jul 17, 2026. Interested? Apply on the company site.
About Apple
Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.
Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.
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