Research Scientist, Frontier AI, DeepMind

Google Inc.

Zürich

Vor Ort

CHF 250.000 - 380.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

DeepMind (GDM) in Zurich invites a Share Research Scientist to advance frontier AI. You will lead foundational research, develop next-generation architectures, and collaborate with global researchers and engineers to create models that reason across modalities.

You will push benchmarks, guide research directions, and publish in top conferences, contributing to a world-class Frontier AI team within Google DeepMind.

Qualifikationen

  • PhD in machine learning, CS, statistics or related field, or equivalent practical experience.
  • 15 years of experience leading a research agenda.
  • Experience in deep learning and Python with neural network training.
  • Experience training, evaluating, and interpreting large multimodal models and LLMs.
  • A publication record in NeurIPS, CVPR, ICML, ICLR, ICCV or ECCV.

Aufgaben

  • Define and lead ambitious research projects, setting technical direction and agenda.
  • Design and implement innovative model architectures for diverse data modalities.
  • Develop benchmarks for evaluating frontier AI systems across diverse capabilities, reasoning tasks, and domains.
  • Contribute to the research strategy and influence the community through publications.

Kenntnisse

Deep Learning
Python
Neural Network training
Multimodal models
Large language models
Publications in ML conferences

Ausbildung

PhD in Machine Learning, Computer Science, Statistics or related field

Jobbeschreibung

Share Research Scientist, Frontier AI, DeepMind

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  • PhD in Machine Learning, Computer Science, Statistics or a related field, or equivalent practical experience.
  • 15 years of experience leading a research agenda.
  • Experience in deep learning and experience with Python and neural network training.
  • Experience training, evaluating, and interpreting large multimodal models and large language models.
  • A publication record in machine learning conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV).
Preferred qualifications:
  • Experience in research leadership across organizations.
  • Experience leading a diverse set of research scientists, research engineers, and software engineers.
About the job

At DeepMind (GDM), we’re a team of scientists, engineers, machine learning experts, and more, working together to advance artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, ensuring that safety and ethics are the highest priority.

As a Research Scientist, you will utilize experience in foundational research, to expand the frontiers of artificial intelligence including driving the development of next-generation foundational AI architectures and frontier models. This will involve close collaboration with research scientists and software engineers across the globe, working to create AI models capable of integrating and reasoning across diverse modalities. You will work collaboratively to manage fundamental challenges in machine learning and AI, pushing the boundaries of what's possible.

The team operates within the GDM Frontier AI unit, which is the engine of innovation for DeepMind, pioneering breakthrough research and collaborating across Alphabet to deliver real-world impact.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Responsibilities
  • Define and lead ambitious research projects, setting the technical direction and ensuring the successful execution of the research agenda.
  • Design and implement innovative model architectures that effectively learn from diverse data modalities, complex environments, and structured datasets.
  • Develop and establish benchmarks for evaluating frontier AI systems across diverse capabilities, reasoning tasks, and domains.
  • Contribute to the overall research strategy of the team, identifying new research directions and influencing the broader research community through publications and presentations

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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