Senior Staff Machine Learning Engineer, Apple Search & Knowledge Platforms

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 3 weeks ago
8-10 years
Seattle, Washington, United States
work from office

Posted: 3 weeks ago
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Applicants: 149+
Job Description
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Job Description

In this role, youll 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.
  • 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
  • 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.

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  • 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.

Skills

AlgorithmsCloud

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About Company

Apple Inc., formerly Apple Computer, Inc., is a Silicon Valley–based multinational technology company headquartered in Cupertino, California. It designs, manufactures, and markets premium consumer electronics, software, and online services. Iconic products include the iPhone, iPad, Mac, Apple Watch, and Apple TV, alongside services such as Apple Music, iCloud, Apple Pay, Apple Arcade, Apple TV+, and the App Store. Operating systems now span iOS, iPadOS, macOS, watchOS, and visionOS.

As of August 2025, Apple ranks #3 globally by market capitalization (≈ US $3.4 trillion) and reported FY 2024 revenue of US $391 billion. It remains the second‑largest smartphone maker and fourth‑largest PC vendor worldwide, while expanding into AI‑powered devices, sustainable technology solutions, and mixed‑reality platforms like the Apple Vision Pro.

For professionals exploring Apple India careers, the company offers opportunities across hardware, software, design, retail, and operations, with office hubs in Bengaluru, Hyderabad, Mumbai, and Gurugram. Apple’s interview process in India is known for its rigor, cultural fit focus, and innovation‑driven assessment — attracting engineers, designers, and business talent passionate about shaping future‑ready technology.

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Important dates & deadlines?

Application Deadline

09 Jun 26, 06:20 PM IST

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Senior Staff Machine Learning Engineer, Apple Search & Knowledge Platforms

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