Auf einen Blick
- Aufgaben: Entwickle bahnbrechende Algorithmen für AR/VR und arbeite an digitalen Menschen.
- Unternehmen: Google, ein führendes Unternehmen in der Technologie- und Forschungsbranche.
- Vorteile: Wettbewerbsfähiges Gehalt, Gesundheitsleistungen und die Möglichkeit zur Veröffentlichung von Forschungsergebnissen.
- Weitere Informationen: Dynamisches Umfeld mit Möglichkeiten zur Zusammenarbeit und Karriereentwicklung.
- Warum dieser Job: Gestalte die Zukunft der Technologie und beeinflusse Produkte, die Milliarden nutzen.
- Qualifikationen: PhD in Informatik oder verwandtem Bereich und Erfahrung in maschinellem Lernen.
Das prognostizierte Gehalt liegt zwischen 60000 - 80000 € pro Jahr.
Minimum qualifications:
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- Experience in computer vision, machine learning, and deep learning.
- Experience with graphics and imaging research.
- Experience coding in C++ or Python.
- One or more scientific publication submission(s) for conferences, journals, or public repositories.
Preferred qualifications:
- Experience owning and initiating research agendas.
- Experience in digital humans or related topics.
- Experience in computer vision and machine learning algorithms.
- Experience in coding.
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.
Responsibilities:
- Help in growing research business across teams by sharing research trends and best practices within the community.
- Develop next generation algorithms for Augmented Reality (AR)/Virtual Reality (VR) perception.
- Develop next generation technologies to capture, model, animate, simulate, and synthesize digital humans.
- Collaborate cross-functionally with other engineers, researchers, and technical artists, and product teams.
- Design, implement, evaluate, and maintain next generation technologies for AR/VR.
Research Scientist, Machine Learning Arbeitgeber: Google
Google ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern die Freiheit gibt, innovative Forschungsprojekte zu verfolgen und dabei an realen Problemen zu arbeiten, die die Technologie von morgen prägen. Mit einem starken Fokus auf Zusammenarbeit und Wissensaustausch bietet Google nicht nur ein inspirierendes Arbeitsumfeld, sondern auch zahlreiche Möglichkeiten zur beruflichen Weiterentwicklung und zum Austausch mit führenden Experten weltweit. Die Unternehmenskultur fördert Kreativität und Eigenverantwortung, was es zu einem idealen Ort für Forscher im Bereich Machine Learning macht.
