AIML - Senior Machine Learning Engineer, Siri and Information Intelligence
Seattle, Washington
Summary
Do you want to make Siri and Apple products smarter for our users? The Siri and Information Intelligence team is redefining how hundreds of millions of people use their devices to get information. We are an Applied ML team pushing the limits of question answering, assistant response ranking, and search technologies, while also responsible for a production service. We are part of a wider effort to power information across a variety of Apple products - including Siri, Spotlight, Safari, Messages, Lookup, and more. As part of our team, you will be leveraging and improving upon the latest deep learning techniques in order to understand queries, rank user intents, rank documents, and find useful answers to users' questions. Our team is responsible for training and deploying these models at scale, using the latest advances for online inference optimization.
Key Qualifications
Experience in machine learning and deep learning, with a focus on natural language processing and information retrieval.
Mastery of one of following languages: Python, Go, Java, C++.
Strong coding skills and solid understanding of algorithms, data structures, and distributed system design.
Excellent interpersonal skills and demonstrated ability to work independently as well as in a team.
Excellent practical skills with and state of the art knowledge of major machine learning algorithms.
Description
As a member of our fast-paced group, you'll have the unique and rewarding opportunity to shape upcoming products from Apple. Our team includes a diversity of backgrounds from applied scientists with a focus in NLP to experienced distributed systems engineers. As such, we are looking for candidates with applied machine learning experience and strong software engineering skills. This role will have the following responsibilities:
* Analyzing search ranking and relevance requirements issues and opportunities
* Utilizing PyTorch, TensorFlow, and JAX for training and deploying deep learning models
* Understanding product requirements then translating them into modeling tasks and engineering tasks
* Building machine-learned models for search relevance ranking query understanding and questioning
Education & Experience
MS, or Ph.D in Computer Science, Machine Learning, or related field
Additional Requirements
Do you want to make Siri and Apple products smarter for our users? The Siri and Information Intelligence team is redefining how hundreds of millions of people use their devices to get information. We are an Applied ML team pushing the limits of question answering, assistant response ranking, and search technologies, while also responsible for a production service. We are part of a wider effort to power information across a variety of Apple products - including Siri, Spotlight, Safari, Messages, Lookup, and more. As part of our team, you will be leveraging and improving upon the latest deep learning techniques in order to understand queries, rank user intents, rank documents, and find useful answers to users' questions. Our team is responsible for training and deploying these models at scale, using the latest advances for online inference optimization.
Key Qualifications
Experience in machine learning and deep learning, with a focus on natural language processing and information retrieval.
Mastery of one of following languages: Python, Go, Java, C++.
Strong coding skills and solid understanding of algorithms, data structures, and distributed system design.
Excellent interpersonal skills and demonstrated ability to work independently as well as in a team.
Excellent practical skills with and state of the art knowledge of major machine learning algorithms.
Description
As a member of our fast-paced group, you'll have the unique and rewarding opportunity to shape upcoming products from Apple. Our team includes a diversity of backgrounds from applied scientists with a focus in NLP to experienced distributed systems engineers. As such, we are looking for candidates with applied machine learning experience and strong software engineering skills. This role will have the following responsibilities:
* Analyzing search ranking and relevance requirements issues and opportunities
* Utilizing PyTorch, TensorFlow, and JAX for training and deploying deep learning models
* Understanding product requirements then translating them into modeling tasks and engineering tasks
* Building machine-learned models for search relevance ranking query understanding and questioning
Education & Experience
MS, or Ph.D in Computer Science, Machine Learning, or related field
Additional Requirements
- Apple's most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programs. We're proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount - both offer everyone at Apple the chance to share in the company's success. You'll discover many more benefits of working at Apple, such as programs that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products.
- Apple benefits programs vary by country and are subject to eligibility requirements.
- 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. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace.
Created: 2024-06-11
Reference: 200544970
Country: United States
State: Washington
City: Seattle
ZIP: 98109
About Apple
Founded in: 1976
Number of Employees: 154000
Website: https://www.apple.com/
Career site: https://www.apple.com/careers/us/
Wikipedia: https://en.wikipedia.org/wiki/Apple_Inc.
Instagram: https://www.instagram.com/apple/
LinkedIn: https://www.linkedin.com/company/apple
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