AIML - Machine Learning Engineer, Siri and Information Intelligence

Overview

AIML - Machine Learning Engineer, Siri and Information Intelligence

Cupertino, California, United States | Machine Learning and AI

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 research and development to improve Open Domain Question Answering (using both structured knowledge graph data and unstructured web data) and Summarization as well as 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 user with a direct answer that best satisfies their intent and information seeking needs. Additionally, you will research and develop the state-of-the-art LLMs for summarizing personal data such as emails, messages, and notifications. 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 the cutting edge research in generative AI to production ready technologies.

Responsibilities

• Conduct research and development on state-of-the-art deep learning and large language models for various tasks and applications in Apple’s AI-powered products
• Develop, fine-tune, and evaluate domain-specific Large Language Models for various NLP tasks including summarization, question answering, search relevance / ranking, entity linking and query understanding problems
• Conduct applied research to transfer the cutting edge research in generative AI to production ready technologies
• Understand product requirements, translate them into modeling tasks and engineering tasks
• Stay up to date with the latest advancements and research in deep learning and large language models

Minimum Qualifications

Preferred Qualifications

Compensation and Benefits

Apple, base pay is one part of our 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 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.

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.

#J-18808-Ljbffr