AIML - Machine Learning Engineer, Siri and Information Intelligence

Apple; Santa Clara (CA); On-site; USD 90,000 - 160,000; Full time

Job summary

Join a dynamic team dedicated to enhancing user experiences through advanced machine learning techniques. This role offers the chance to work on innovative projects that redefine how users interact with technology. As part of a diverse group of experts, you will leverage cutting-edge deep learning methods to improve information retrieval across various platforms. Collaborate with talented professionals and contribute to the development of intelligent systems that impact millions of users worldwide. If you are passionate about machine learning and eager to make a difference, this opportunity is for you.

Qualifications

• In-depth understanding of machine learning fundamentals and applied ML experience.
• Strong software engineering skills with a focus on search technologies.

Responsibilities

• Translate product requirements into modeling and engineering tasks.
• Analyze search ranking and relevance requirements and opportunities.

Skills

Machine Learning Fundamentals

Software Engineering

Search Relevance Ranking

Query Understanding

Question Answering

Education

Bachelor's in Computer Science

Master's or PhD in Computer Science

Tools

PyTorch

TensorFlow

JAX

Job description

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, summarization, 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, such as LLM and RAG, in order to understand queries and user intents, rank documents, and find useful answers to users’ questions. Our team is responsible for training, fine-tuning and deploying these models at scale, using the latest advances for online inference optimization.

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 in-depth understanding of machine learning fundamentals, applied machine learning experience, and strong software engineering skills.

Minimum Qualifications

• Understanding product requirements then translating them into modeling tasks and engineering tasks
• Analyzing search ranking and relevance requirements, issues, and opportunities
• Utilizing PyTorch, TensorFlow, or JAX for training and deploying deep learning models
• Building machine-learned models for search relevance ranking, query understanding, and question answering
• BS in Computer Science or related field

Key Qualifications Preferred Qualifications

• MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field
• Strong industry background and experience in search and related technologies (LLMs, Machine Learning, NLP, Information Retrieval)
• Strong and validated experience with knowledge of ML development and production systems
• Experience working with foundation models and LLMs

Education & Experience Additional Requirements

• This posting is not for a specific job opening and by submitting your resume you are expressing interest in being contacted about this type of role at Apple in the future.

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.