Apple Inc.
AIML - Machine Learning Engineer, Answers, Knowledge & Information (AKI)
Apple Inc., Santa Clara, California, us, 95053
Overview
AIML - Machine Learning Engineer, Answers, Knowledge & Information (AKI) Santa Clara, California, United States Machine Learning and AI 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 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. You will be using and improving upon the latest advancements in machine learning and software engineering to understand user queries and intents, retrieve and rank documents and generate helpful answers and work on horizontal areas on data generation, evaluation and safety. Responsibilities
Contribute to the development of realtime augmented information retrieval and generation, information safety and search technologies. Translate product requirements into modeling tasks and engineering tasks, and build systems that understand user queries and intents, retrieve and rank documents, and generate helpful answers. Collaborate across teams to support user-facing production services across Apple products including Siri, Spotlight, Safari, Messages, Lookup, and more. Minimum Qualifications
BS in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience 5+ years of industry related experience, working in collaborative environments Experience with using: PyTorch, TensorFlow, or JAX for training and deploying deep learning models Understanding product requirements then translating them into modeling tasks and engineering tasks Proficient in at least two programming languages such as: C/C++, Go, Python, Java Preferred Qualifications
Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience Analyzing search ranking and relevance requirements issues and opportunities Building machine-learned models for search relevance ranking query understanding and questioning Benefits
Apple base pay is one part of the total compensation package and is determined within a range. The base pay range for this role is between $147,400 and $272,100, 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 discretionary programs. Eligible for discretionary restricted stock unit awards and can purchase Apple stock at a discount through the Employee Stock Purchase Plan. Benefits include comprehensive medical and dental coverage, retirement benefits, discounted products and free services, and reimbursement for certain educational expenses. 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. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.
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AIML - Machine Learning Engineer, Answers, Knowledge & Information (AKI) Santa Clara, California, United States Machine Learning and AI 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 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. You will be using and improving upon the latest advancements in machine learning and software engineering to understand user queries and intents, retrieve and rank documents and generate helpful answers and work on horizontal areas on data generation, evaluation and safety. Responsibilities
Contribute to the development of realtime augmented information retrieval and generation, information safety and search technologies. Translate product requirements into modeling tasks and engineering tasks, and build systems that understand user queries and intents, retrieve and rank documents, and generate helpful answers. Collaborate across teams to support user-facing production services across Apple products including Siri, Spotlight, Safari, Messages, Lookup, and more. Minimum Qualifications
BS in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience 5+ years of industry related experience, working in collaborative environments Experience with using: PyTorch, TensorFlow, or JAX for training and deploying deep learning models Understanding product requirements then translating them into modeling tasks and engineering tasks Proficient in at least two programming languages such as: C/C++, Go, Python, Java Preferred Qualifications
Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience Analyzing search ranking and relevance requirements issues and opportunities Building machine-learned models for search relevance ranking query understanding and questioning Benefits
Apple base pay is one part of the total compensation package and is determined within a range. The base pay range for this role is between $147,400 and $272,100, 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 discretionary programs. Eligible for discretionary restricted stock unit awards and can purchase Apple stock at a discount through the Employee Stock Purchase Plan. Benefits include comprehensive medical and dental coverage, retirement benefits, discounted products and free services, and reimbursement for certain educational expenses. 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. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.
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