Auf einen Blick
- Aufgaben: Entwickle bahnbrechende Innovationen in maschinellem Lernen und Computer Vision.
- Unternehmen: Weltklasse-Forschungsteam bei Apple mit innovativer Kultur.
- Vorteile: Wettbewerbsfähiges Gehalt, Gesundheitsleistungen und flexible Arbeitsmöglichkeiten.
- Weitere Informationen: Dynamisches Umfeld mit großartigen Karrieremöglichkeiten und einem Fokus auf Vielfalt.
- Warum dieser Job: Arbeite an Technologien, die Millionen von Menschen Freude bereiten.
- Qualifikationen: Erfahrung in ML-Algorithmen und Softwareentwicklung erforderlich.
Das prognostizierte Gehalt liegt zwischen 63000 - 77000 € pro Jahr.
pp We're seeking research scientists/engineers to create breakthrough innovations in machine learning, computer vision, computer graphics, and related areas.
We are particularly interested in image and video synthesis, 3D reconstruction, and neural rendering.
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. /ph3Description /h3p We are a team of best-in-the-world research scientists and engineers with deep experience in machine learning, computer vision, computer graphics, and related areas.
We work on exciting new technologies that bring joy to millions of people.
In our daily work, the team stays innovative, productive, and fun by sharing some key values: /ph3Responsibilities /h3ulli Passion for the mission: We're here to make something extraordinary.
We seek whatever work is right and strive for the best possible results. /lili
Modesty: The right answer is more significant than being right.
We search for solutions as a team and value clear-eyed feedback. /lili Lean habits: You can't grow without limits.
Time constraints and big goals encourage us to sharpen our focus and learn to make phenomenal decisions. /li /ulh3Minimum Qualifications /h3ulli Publication record in relevant conferences (e. g., CVPR, ECCV, ICCV, ICLR, ICML, Neur IPS, SIGGRAPH, etc). /lili Significant experience building complete prototypes that achieve state-of-the- art performance in your areas of expertise. /lili Comfortable across the entire ML research stack, from low-level system programming to high-level algorithm development. /lili Solid software engineering skills in complex systems.
Fluency in Python. /lili Expertise in ML algorithms and top practices for working with deep learning systems. /lili Proficiency with ML modeling frameworks (Py Torch, Jax, etc). /li /ulh3Preferred Qualifications /h3ulli Bachelors, Masters, or Ph D Degree in Computer Science/Electrical Engineering or equivalent academic or professional experience. /lili Research experience in 3D reconstruction, neural rendering, view synthesis, image video synthesis. /li /ulp 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. /pp 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. /pp Learn about accessibility in Apple’s workplace /p /p #J-18808-Ljbffr
Research Scientist/ Engineer - Special Projects Arbeitgeber: Apple Inc.
Apple ist ein hervorragender Arbeitgeber, der nicht nur innovative Produkte schafft, sondern auch eine inklusive und vielfältige Arbeitskultur fördert. In Mainz haben Mitarbeiter die Möglichkeit, in einem dynamischen Umfeld zu arbeiten, das kontinuierliches Lernen und persönliche Entwicklung unterstützt. Mit einem starken Fokus auf Teamarbeit und Kundenservice bietet Apple seinen Mitarbeitern die Chance, ihre Leidenschaft für Technologie auszuleben und gleichzeitig einen positiven Einfluss auf die Gemeinschaft zu haben.