NLP PEOPLE
AIML – Machine Learning Engineer/Scientist, Siri and Information Intelligence
NLP PEOPLE, Cupertino, California, United States, 95014
SummaryPosted: Jun 12, 2024
Role Number: 200554814
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 state-of-the-art generative AI technologies based on Large Language Models 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 Open Domain Question Answering and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning and large language models (LLMs) to understand user queries, retrieve and rank relevant documents across multiple sources, and synthesize information across documents to provide users with a direct answer 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 and conduct applied research to transfer cutting-edge research in generative AI to production-ready technologies.
DescriptionAs 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 experience and solid engineering skills in creating outstanding question-answering 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 cutting-edge research in generative AI to production-ready technologies
Understanding product requirements, translating them into modeling tasks and engineering tasks
Building machine learned models for question answering, 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 systems including query understanding and ranking to power search and open domain question answering
Utilizing Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing
Minimum Qualifications
Experience in machine learning, deep learning/LLM, information retrieval, natural language processing
Experience in prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs
Proficiency in Python and at least one of the following languages: Go, Java, C++
Excellent knowledge and good practical skills in major machine learning algorithms
Excellent data analytical skills
Good interpersonal skills and team player
Preferred Qualifications
Experience with Large Scale Data-Mining and/or Machine learning is a plus
Experience with ML and LLM model inference optimization is a plus
MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field
Pay & Benefits• 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 $175,800 and $312,200, 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.
More• Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
Company:Apple
#J-18808-Ljbffr
Role Number: 200554814
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 state-of-the-art generative AI technologies based on Large Language Models 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 Open Domain Question Answering and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning and large language models (LLMs) to understand user queries, retrieve and rank relevant documents across multiple sources, and synthesize information across documents to provide users with a direct answer 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 and conduct applied research to transfer cutting-edge research in generative AI to production-ready technologies.
DescriptionAs 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 experience and solid engineering skills in creating outstanding question-answering 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 cutting-edge research in generative AI to production-ready technologies
Understanding product requirements, translating them into modeling tasks and engineering tasks
Building machine learned models for question answering, 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 systems including query understanding and ranking to power search and open domain question answering
Utilizing Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing
Minimum Qualifications
Experience in machine learning, deep learning/LLM, information retrieval, natural language processing
Experience in prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs
Proficiency in Python and at least one of the following languages: Go, Java, C++
Excellent knowledge and good practical skills in major machine learning algorithms
Excellent data analytical skills
Good interpersonal skills and team player
Preferred Qualifications
Experience with Large Scale Data-Mining and/or Machine learning is a plus
Experience with ML and LLM model inference optimization is a plus
MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field
Pay & Benefits• 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 $175,800 and $312,200, 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.
More• Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
Company:Apple
#J-18808-Ljbffr