AIML - Distinguished Engineer - Answers, Knowledge, & Information
Apple
AIML - Distinguished Engineer - Answers, Knowledge, & Information
Job Description
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. In this role, you will drive LLM based question answering, personal content search, and Apple Intelligence features to provide concise, accurate, and grounded information to users to help them complete their tasks quickly on Apple devices. You are expected to take advantage of the Apple ecosystem that blends cutting-edge hardware, software, and strong privacy/security guarantees, integrate this with the phenomenal power of Reinforcement Learning in the post-training of generative models, and then deliver the truly delightful user experiences that are uniquely Apple. You will be responsible for devising the generative AI technology vision and strategy, developing advanced RL algorithms and synthetic/human data pipelines, evangelizing it, executing the plan, improving the LLM-based model quality for multiple Apple Intelligence features, and delivering the end-user experience. You will have the opportunity to work with a wide range of organizational partners across foundation modeling, design, product and marketing, software engineering, and foundation modeling to profoundly impact billions of Apple users worldwide.
Locations
- Santa Clara, California, United States 95050
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
12,000,000 - 25,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- driving LLM based question answeringintermediate
- personal content searchintermediate
- developing generative AI-based modelsintermediate
- developing advanced RL algorithmsintermediate
- developing synthetic data pipelinesintermediate
- developing human data pipelinesintermediate
- improving LLM-based model qualityintermediate
- devising generative AI technology visionintermediate
- devising generative AI strategyintermediate
- evangelizing technologyintermediate
- executing plansintermediate
- integrating hardwareintermediate
- integrating softwareintermediate
- integrating privacy/security guaranteesintermediate
- integrating Reinforcement Learningintermediate
- post-training of generative modelsintermediate
- delivering user experiencesintermediate
- working with foundation modelingintermediate
- working with designintermediate
- working with productintermediate
- working with marketingintermediate
- working with software engineeringintermediate
Required Qualifications
- 10+ years of R&D experience leading engineering/applied research/ML experiences in search, natural language processing/understanding. Conversational AI. (experience, 10 years)
- MS or Ph.D. in Computer Science, Machine Learning with a specialty in reinforcement learning, or a related field (experience)
Preferred Qualifications
- 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. (experience)
- Strong product intuition and ownership (experience)
- Excellent communication skills (experience)
- Growth mindset and ability to learn new technologies (experience)
Responsibilities
- In this role, you will drive LLM based question answering, personal content search, and Apple Intelligence features to provide concise, accurate, and grounded information to users to help them complete their tasks quickly on Apple devices. You are expected to take advantage of the Apple ecosystem that blends cutting-edge hardware, software, and strong privacy/security guarantees, integrate this with the phenomenal power of Reinforcement Learning in the post-training of generative models, and then deliver the truly delightful user experiences that are uniquely Apple. You will be responsible for devising the generative AI technology vision and strategy, developing advanced RL algorithms and synthetic/human data pipelines, evangelizing it, executing the plan, improving the LLM-based model quality for multiple Apple Intelligence features, and delivering the end-user experience. You will have the opportunity to work with a wide range of organizational partners across foundation modeling, design, product and marketing, software engineering, and foundation modeling to profoundly impact billions of Apple users worldwide.
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Answer 10 quick questions to check your fit for AIML - Distinguished Engineer - Answers, Knowledge, & Information @ Apple.
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~2 Minutes
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AIML - Distinguished Engineer - Answers, Knowledge, & Information
Apple
AIML - Distinguished Engineer - Answers, Knowledge, & Information
Job Description
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. In this role, you will drive LLM based question answering, personal content search, and Apple Intelligence features to provide concise, accurate, and grounded information to users to help them complete their tasks quickly on Apple devices. You are expected to take advantage of the Apple ecosystem that blends cutting-edge hardware, software, and strong privacy/security guarantees, integrate this with the phenomenal power of Reinforcement Learning in the post-training of generative models, and then deliver the truly delightful user experiences that are uniquely Apple. You will be responsible for devising the generative AI technology vision and strategy, developing advanced RL algorithms and synthetic/human data pipelines, evangelizing it, executing the plan, improving the LLM-based model quality for multiple Apple Intelligence features, and delivering the end-user experience. You will have the opportunity to work with a wide range of organizational partners across foundation modeling, design, product and marketing, software engineering, and foundation modeling to profoundly impact billions of Apple users worldwide.
Locations
- Santa Clara, California, United States 95050
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
12,000,000 - 25,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- driving LLM based question answeringintermediate
- personal content searchintermediate
- developing generative AI-based modelsintermediate
- developing advanced RL algorithmsintermediate
- developing synthetic data pipelinesintermediate
- developing human data pipelinesintermediate
- improving LLM-based model qualityintermediate
- devising generative AI technology visionintermediate
- devising generative AI strategyintermediate
- evangelizing technologyintermediate
- executing plansintermediate
- integrating hardwareintermediate
- integrating softwareintermediate
- integrating privacy/security guaranteesintermediate
- integrating Reinforcement Learningintermediate
- post-training of generative modelsintermediate
- delivering user experiencesintermediate
- working with foundation modelingintermediate
- working with designintermediate
- working with productintermediate
- working with marketingintermediate
- working with software engineeringintermediate
Required Qualifications
- 10+ years of R&D experience leading engineering/applied research/ML experiences in search, natural language processing/understanding. Conversational AI. (experience, 10 years)
- MS or Ph.D. in Computer Science, Machine Learning with a specialty in reinforcement learning, or a related field (experience)
Preferred Qualifications
- 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. (experience)
- Strong product intuition and ownership (experience)
- Excellent communication skills (experience)
- Growth mindset and ability to learn new technologies (experience)
Responsibilities
- In this role, you will drive LLM based question answering, personal content search, and Apple Intelligence features to provide concise, accurate, and grounded information to users to help them complete their tasks quickly on Apple devices. You are expected to take advantage of the Apple ecosystem that blends cutting-edge hardware, software, and strong privacy/security guarantees, integrate this with the phenomenal power of Reinforcement Learning in the post-training of generative models, and then deliver the truly delightful user experiences that are uniquely Apple. You will be responsible for devising the generative AI technology vision and strategy, developing advanced RL algorithms and synthetic/human data pipelines, evangelizing it, executing the plan, improving the LLM-based model quality for multiple Apple Intelligence features, and delivering the end-user experience. You will have the opportunity to work with a wide range of organizational partners across foundation modeling, design, product and marketing, software engineering, and foundation modeling to profoundly impact billions of Apple users worldwide.
Tags & Categories
Answer 10 quick questions to check your fit for AIML - Distinguished Engineer - Answers, Knowledge, & Information @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs