AIML - Machine Learning Engineer, Visual Intelligence Technology

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something.

In Visual Intelligence Technology team, we work hard to bring the best user experiences powered by Apple Intelligence. We leverage cutting-edge technologies like Visual Search and LLM to empower user-facing features like Visual Look-up and Visual Intelligence in camera and photos. We also advance our technology innovation in Visual Intelligence Technology and Multimodal Foundation Model for longer-term ambitious goals.

As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs.

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, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies.

Description

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other'll add something.

In Visual Intelligence Technology team, we work hard to bring the best user experiences powered by Apple Intelligence. We leverage cutting-edge technologies like Visual Search and LLM to empower user-facing features like Visual Look-up and Visual Intelligence in camera and photos. We also advance our technology innovation in Visual Intelligence Technology and Multimodal Foundation Model for longer-term ambitious goals.

Preferred Qualifications

Has iOS / MacOS development experience

Experience with optimizing performance on resource constrained devices

Experience with relevant deep learning software packages (Keras, Tensorflow, PyTorch...)

Experience with graphics development: OpenGL, Metal, Vulcan or neural engine integration / optimization

Experience with OpenGL and/or OpenCL programming

Minimum Qualifications

MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field

7+ years of experience in machine learning, deep learning, information retrieval, natural language processing or data mining

5+ years of experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs

Experience being a tech lead, and has been successfully leading a team to ship software to users

Excellent knowledge and good practical skills in designing ML platforms, architectures or algorithms

Strong interpersonal skills able to work independently as well as in a team

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 .