Role at a glance
- Salary
- $142.3K – $263.3K/yr
- Location
- Santa Clara, California, United States Seattle, Washington, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Experience in machine learning, deep learning, information retrieval, natural language processing or data mining
- Education
- PhD, MS or equivalent experience
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Role Summary
The AIML Information Intelligence team develops search, natural language processing, and generative AI technologies for Apple products and cloud services. This role focuses on machine learning, search relevance, query understanding, ranking, and domain-specific Large Language Models to improve information retrieval and support AI-powered products.
What You'll Do
- Analyze search ranking and relevance requirements, issues and opportunities
- Develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple’s AI powered products
- Conduct applied research to transfer pioneering research in generative AI to production ready technologies
- Build machine learned models for search relevance, ranking and query understanding problems
- Integrate search functions into Apple products, such as Siri, Spotlight, Safari, Messages, and Lookup
- Build end-to-end production systems including query understanding and ranking to power search
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Experience in machine learning, deep learning, information retrieval, natural language processing or data mining; experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs; proficiency in one of following languages: Python, Go, Java, C++
Required
- Experience in machine learning, deep learning, information retrieval, natural language processing or data mining
- Experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs
- Proficiency in one of following languages: Python, Go, Java, C++
Preferred
- Excellent data analytical skills
- Good interpersonal skills and team player
- PhD preferred
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Summary
The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop innovative generative AI technologies based on Large Language Model to power innovative features in both Apple’s devices and services on the cloud.
As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs.
You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple’s AI powered products, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies.
Description
As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, NLP experience and solid engineering skills in creating outstanding search and NLP services. This role will have the following responsibilities:
- Analyzing search ranking and relevance requirements, issues and opportunities
- Developing, fine-tuning, and evaluating domain specific Large Language Models for various tasks and applications in Apple’s AI powered products
- Conducting applied research to transfer the pioneering research in generative AI to production ready technologies
- Understanding product requirements, translate them into modeling tasks and engineering tasks
- Building machine learned models for search relevance, ranking and query understanding problems
- Integrating search functions into Apple products, such as; Siri, Spotlight, Safari, Messages, Lookup, etc.
- Building end-to-end production system including query understanding and ranking to power search
- Applying Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing
Minimum Qualifications
PhD, MS or equivalent experience
Experience in machine learning, deep learning, information retrieval, natural language processing or data mining
Experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs.
Proficiency in one of following languages: Python, Go, Java, C++
Preferred Qualifications
Excellent data analytical skills
Good interpersonal skills and team player
PhD preferred
Pay & Benefits — Seattle, Washington, United States
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $142,300 and $263,300, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Application Deadline
Apple accepts applications to this posting on an ongoing basis.
Pay & Benefits — Santa Clara, California, United States
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
About the company
Apple
Large Enterprise
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.