Internship Computer Vision & Machine Learning Research

Apple Inc.; München; Vor Ort; EUR 13.000 - 20.000; Teilzeit

Zusammenfassung

Apple Inc. in Munich seeks research interns to push breakthroughs in ML, computer vision, 3D reconstruction, and neural rendering. You will collaborate with world-class researchers and engineers across the Apple ecosystem.

You are in final years of a PhD in ML, CV, or related fields, and have published at top venues. Expect hands-on experimental work, multi-node, multi-GPU runs, and aiming for open-source code or publications.

Qualifikationen

• Working towards a doctoral degree in computer science, engineering, data science, or equivalent.
• At internship end you must return to school or this must be your last degree requirement.
• 6 months dedication preferred, starting no later than March 2026.
• Solid software engineering skills in multi-language systems; fluency in Python.
• Experience with PyTorch and publication record in ML/CV conferences.

Aufgaben

• Identify promising research opportunities and review state-of-the-art literature.
• Craft novel approaches and implement them as code prototypes.
• Plan and run large-scale experiments across multi-node, multi-GPU systems.
• Write a paper and shepherd it through to submission, possibly open source.
• Collaborate with world-class researchers and engineers across Apple.

Kenntnisse

Python

PyTorch

Research experience

Ausbildung

PhD candidate in Computer Science / Engineering / Data Science

Tools

Git

CUDA

Jobbeschreibung

Munich, Bavaria-Bayern, Germany Machine Learning and AI

We're seeking research interns to create breakthrough innovations in machine learning, computer vision, computer graphics, and related areas. We are particularly interested in 3D reconstruction, depth estimation, neural rendering, view synthesis, and image and video synthesis. You will work directly with an organization of world-class machine learning researchers and engineers. Our work powers cutting-edge technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.

Description

You are in your final years of a PhD programme in Machine Learning, Statistics, or Computer Vision, and have already published some of your work at top-tier venues in the field. During your time with us, you will continue sharpening your research skills as we go through the various collaborative stages of an ML research project: Identifying a promising research opportunity, reviewing state-of-the-art methods and relevant literature, crafting novel approaches, implementing them as code prototypes, planning and running large-scale experiments across multi-node, multi-GPU systems, writing a paper, and seeing it through to submission.Topics of interest include but are not limited to 3D reconstruction, depth estimation, neural rendering, view synthesis, and image and video synthesis. You’ll further have the opportunity to collaborate with world-class researchers outside of your immediate internship location. Ultimately, you will work towards publishing new findings arising from the project, either or both as open source code and publications.

Minimum Qualifications

• You are working towards a doctoral degree in computer science, engineering, data science, applied mathematics, or equivalent.
• At the end of the internship, you must return to school to continue your education or the internship must be the last requirement for you to graduate.
• 6 months dedication is preferred, and starting no later than March 2026.
• Solid software engineering skills in complex, multi-language systems. Fluency in Python.
• Experience with PyTorch.
• Proven research expertise in machine learning and/or computer vision.
• Publication record in relevant conferences (e.g., CVPR, ECCV, ICCV, ICLR, ICML, NeurIPS, SIGGRAPH, etc).

Preferred Qualifications

• Ability to formulate a research problem, design, experiment, implement and communicate solutions.
• Ability to work in a diverse collaborative environment.
• Strong mathematical skills in linear algebra, probability, optimization and statistics.
• Action oriented.
• Research experience in 3D reconstruction, neural rendering, view synthesis, image & video synthesis.

At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.

At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace