ML Research Intern

Imagine what you could do here. At Apple, extraordinary ideas have a way of becoming quality products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple's machine learning team is looking for highly motivated computer science students to help transform intelligent user experiences. We are a close-knit team of deeply technical research scientists and machine learning engineers working on delivering groundbreaking technologies that impact millions of users. As a member of this team, you will use your practical knowledge and experience with computer vision, machine learning, and artificial intelligence to tackle significant technical problems, and collaborate with the most innovative product development teams in the world. You will have the opportunity to transfer your ideas into solutions for some of the most challenging technical problems in the next generation of Apple products. You will: Be an essential part of a team of engineers and scientists who are designing, building, and supporting new, machine learning systems and intelligent user experiences. Help with launching innovative solutions for challenging problems that will affect future Apple Products. Have strong programming skills and ability to quickly prototype ideas, evaluate results, and collaborate to deliver completed solutions. You are hands-on, eager, curious and never satisfied with the status quo. The ideal candidate will love learning and being challenged. Experience with advanced algorithms and data structuresExperience (via classroom or projects) in machine learning techniques and frameworksStrong C++ and Python development skillsCreative, collaborative, and passionate about building extraordinary productsAbility to learn quickly and contribute in a fast-paced environmentRelevant prior experience in industry, coursework, and/or academic research labs in at least one area of computer vision, machine learning, and computer graphics (e.g., deep convolutional neural networks, object detection, tracking, segmentation, AR/VR, image and video processing, generative models, NLP, 3D geometry, SLAM, multi‐view geometry, simulation, graphics rendering)Proven grasp of deep learning algorithms and workflows, in particular with large scale dataPublications at conferences (NIPS, CVPR, ICML, ICCV, SIGGRAPH etc.) are a big plus Enrolled in an BS, MS or PhD program in computer science, machine learning, deep learning, computer vision or relevant engineering degree. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Requirements

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How to Apply

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

Our Company Values

Apple

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Location
Seattle, Washington, United States
Worldwide
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Salary
$
80000
Annual
Posted on
Jun 6, 2020
applicants
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