AIML - Staff Machine Learning Engineer - Answers, Knowledge & Information
Apple
AIML - Staff Machine Learning Engineer - Answers, Knowledge & Information
Job Description
Do you want to make Siri and Apple products smarter for our users? The Answers, Knowledge & Information 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 apple intelligence, 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. In our team, you will be leveraging and improving upon the latest LLM/ML techniques in order to understand queries, rank user intents, rank documents, and generate answers to users’ questions. Our team is responsible for training and deploying these models at scale, using the latest advances for online inference optimization. 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 machine learning engineers with a focus on ML and LLM to experienced distributed systems engineers. As such, we are looking for candidates with applied machine learning experience and strong software engineering skills.
Locations
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
50,000,000 - 120,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- applied machine learningintermediate
- LLM techniquesintermediate
- ML techniquesintermediate
- training modelsintermediate
- deploying modelsintermediate
- online inference optimizationintermediate
- software engineeringintermediate
- distributed systemsintermediate
Required Qualifications
- MS in Computer Science or related field (experience)
- 5+ years of industry related experience, working in collaborate environments (experience, 5 years)
- Utilizing: PyTorch, TensorFlow, and JAX for training and deploying deep learning models (experience)
- Understanding product requirements and then translating them into modeling tasks and engineering tasks (experience)
- Building machine-learned models for search relevance ranking, query understanding, and summarization (experience)
Preferred Qualifications
- PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field (degree in computer science)
- Experience in RAG, LLM Reasoning, and LLM Agent (experience)
- Experience working in a complex organization with multiple collaborators, strong track record in scaling and launching projects in this setting (experience)
Responsibilities
- 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 machine learning engineers with a focus on ML and LLM to experienced distributed systems engineers. As such, we are looking for candidates with applied machine learning experience and strong software engineering skills.
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AIML - Staff Machine Learning Engineer - Answers, Knowledge & Information
Apple
AIML - Staff Machine Learning Engineer - Answers, Knowledge & Information
Job Description
Do you want to make Siri and Apple products smarter for our users? The Answers, Knowledge & Information 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 apple intelligence, 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. In our team, you will be leveraging and improving upon the latest LLM/ML techniques in order to understand queries, rank user intents, rank documents, and generate answers to users’ questions. Our team is responsible for training and deploying these models at scale, using the latest advances for online inference optimization. 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 machine learning engineers with a focus on ML and LLM to experienced distributed systems engineers. As such, we are looking for candidates with applied machine learning experience and strong software engineering skills.
Locations
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
50,000,000 - 120,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- applied machine learningintermediate
- LLM techniquesintermediate
- ML techniquesintermediate
- training modelsintermediate
- deploying modelsintermediate
- online inference optimizationintermediate
- software engineeringintermediate
- distributed systemsintermediate
Required Qualifications
- MS in Computer Science or related field (experience)
- 5+ years of industry related experience, working in collaborate environments (experience, 5 years)
- Utilizing: PyTorch, TensorFlow, and JAX for training and deploying deep learning models (experience)
- Understanding product requirements and then translating them into modeling tasks and engineering tasks (experience)
- Building machine-learned models for search relevance ranking, query understanding, and summarization (experience)
Preferred Qualifications
- PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field (degree in computer science)
- Experience in RAG, LLM Reasoning, and LLM Agent (experience)
- Experience working in a complex organization with multiple collaborators, strong track record in scaling and launching projects in this setting (experience)
Responsibilities
- 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 machine learning engineers with a focus on ML and LLM to experienced distributed systems engineers. As such, we are looking for candidates with applied machine learning experience and strong software engineering skills.
Tags & Categories
Answer 10 quick questions to check your fit for AIML - Staff Machine Learning Engineer - Answers, Knowledge & Information @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs