AIML - Sr Machine Learning Engineer - Answers, Knowledge & Information at Apple

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Jan, 26

Salary

0.0

Posted On

15 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Applied Machine Learning, Software Engineering, PyTorch, TensorFlow, JAX, Deep Learning Models, Search Relevance Ranking, Query Understanding, Summarization, LLM Techniques, Model Training, Model Deployment, Online Inference Optimization, Distributed Systems Engineering, Collaboration, Product Requirements

Industry

Computers and Electronics Manufacturing

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. 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. MINIMUM QUALIFICATIONS 8+ years of industry related experience, working in collaborate environments Utilizing PyTorch, TensorFlow, and JAX for training and deploying deep learning models Understanding product requirements and then translating them into modeling tasks and engineering tasks Building models for search relevance ranking, query understanding, and summarization BS or MS in Computer Science or related field PREFERRED QUALIFICATIONS PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field Experience in RAG, LLM Reasoning, and LLM Agent Experience working in a complex organization with multiple collaborators, strong track record in scaling and launching projects in this setting

Responsibilities

The team is responsible for leveraging and improving upon the latest LLM/ML techniques to understand queries, rank user intents, and generate answers. They also train and deploy models at scale for various Apple products.