AIML - Distinguished Engineer, Information Intelligence

Apple • Seattle, WA

279d

About The Position

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us strengthening each other's ideas. That happens because every one of us believes that we can make something wonderful and share it with the world, changing lives for the better! In the Siri and Information Intelligence organization, we work hard to bring the best user experiences powered by Apple Intelligence. One central part of the user experience is to understand the personal context and their information-seeking needs: this means the experiences understand the user deeply (their contents, their behaviors, their preferences, etc.) and use the deep understanding to help users accomplish things in an intelligent, intuitive, and private way, as well as delivering the most accurate, fresh, and rich experience to satisfy their information needs. We also develop generative AI-based models and systems to power Apple Intelligence features, which simplify users' lives, make them more productive, and consume all the information delivered on Apple devices more effectively and efficiently with less effort.

Requirements

• 10+ years of R&D experience leading engineering/applied research/ML experiences in search, natural language processing/understanding, and conversational AI.
• MS or Ph.D. in Computer Science, Machine Learning with a specialty in reinforcement learning, or a related field.

Nice To Haves

• Deep expertise in the field of information retrieval, machine learning, natural language processing and understanding, and in particular, reinforcement learning-based post-training on LLM models, reward modeling, RLHF, RLAIF, Chain-of-thought, and agentic AI R&D.
• Strong product intuition and ownership.
• Excellent communication skills.
• Growth mindset and ability to learn new technologies.

Responsibilities

• Drive LLM based question answering, personal content search, and Apple Intelligence features.
• Provide concise, accurate, and grounded information to users to help them complete their tasks quickly on Apple devices.
• Leverage the Apple ecosystem that blends cutting-edge hardware, software, and strong privacy/security guarantees.
• Integrate the power of Reinforcement Learning in the post-training of generative models.
• Devise the generative AI technology vision and strategy.
• Develop advanced RL algorithms and synthetic/human data pipelines.
• Evangelize the technology and execute the plan.
• Improve the LLM-based model quality for multiple Apple Intelligence features.
• Deliver the end-user experience.
• Collaborate with a wide range of organizational partners across foundation modeling, design, product and marketing, software engineering, and foundation modeling.

What This Job Offers

• Industry: Computer and Electronic Product Manufacturing