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

Apple • Santa Clara, CA

5h

About The Position

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.

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.

Requirements

• 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

Nice To Haves

• 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.)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level