AIML - Machine Learning Engineer, Visual Intelligence Technology at Apple

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

28 Apr, 26

Salary

0.0

Posted On

28 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, Information Retrieval, Natural Language Processing, Data Mining, Prompt Engineering, Fine-Tuning, Evaluating, Data Collection, Annotation, Management Tooling, Keras, Tensorflow, PyTorch

Industry

Computers and Electronics Manufacturing

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’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 team, you will explore how large-scale models can understand and reason about complex visual scenes, design and build large-scale training pipelines, and perform experiments at scales. You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific LLMs 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’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. MINIMUM QUALIFICATIONS MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field 5+ years of experience in machine learning, deep learning, information retrieval, natural language processing or data mining 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 PREFERRED QUALIFICATIONS 3+ years of experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs Experience with relevant deep learning software packages (Keras, Tensorflow, PyTorch…)

Responsibilities

As part of the Visual Intelligence Technology team, you will explore how large-scale models can understand and reason about complex visual scenes. You will design and build large-scale training pipelines and perform experiments at scale.