Machine Learning Engineer - Answers, Knowledge and Information (AKI) at Apple

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

27 May, 26

Salary

0.0

Posted On

26 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Software Engineering, Knowledge Q&A, Siri, Spotlight, User Queries, Intent Understanding, Document Retrieval, Ranking, Answer Generation, Internationalization, Safety, LLM, Distributed Systems, PyTorch, TensorFlow

Industry

Computers and Electronics Manufacturing

Description

The Answers, Knowledge and Information Team is building the next-generation of machine learning solutions for Knowledge Q&A at Apple and help power features including Siri and Spotlight. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. As part of our team, you will be leveraging 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 such as internationalization and safety. 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 BS in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience Experience with utilizing 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 programing languages such as: C/C++, Go, Python, Java PREFERRED QUALIFICATIONS MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience Experience with analyzing search ranking and relevance requirements issues and opportunities 2+ years of industry related experience, working in collaborative environments Experience with building machine-learned models for search relevance ranking query understanding and questioning Experience with cloud-native deployment (e.g. Kubernetes) Experience with continuous integration and continuous development solutions (e.g. Jenkins, etc.)

Responsibilities

The team is building next-generation machine learning solutions for Knowledge Question Answering at Apple, powering features like Siri and Spotlight. Responsibilities include leveraging and improving ML advancements to understand user queries, retrieve and rank documents, and generate helpful answers, while also working on internationalization and safety.