11 beste Stellen als machine learning python in kanton zürich – aktuell auf Personalsuche

Research Scientist, Frontier AI, DeepMind
DeepMind —Zürich, ZH
- 100%
- Doktorat
- Forschungserfahrung
- Erfahrung mit Netzwerken
5 Std.
Data Engineering Consultant (w/m/x)
Avanade —Zürich, ZH
- Homeoffice
- Englisch
- SQL
- Python
4 Std.
Senior Software Engineer - Distributed Systems
Decentriq —Zürich, ZH
- Teilzeit
- Hybrides Arbeiten
- Doktorat
- Master
- Bachelor
Direkt bewerben
Quant Engineer - Capital Market Technologies
Swiss Quant —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Doktorat
- Englisch
- Java
Direkt bewerben
Tech Lead Manager, Freshness and Factuality, GeminiApp, DeepMind
DeepMind —Zürich, ZH
- 100%
- Informatik
- Doktorat
- Master
17 Std.
DevOps Engineer /Deployment Manager
b-rayZ AG —Zürich, ZH
- Teilzeit
- Management-Erfahrung
- Englisch
- AWS
Senior (Gen)AI Engineer (all genders)
AXA Insurance AG —Winterthur, ZH
- 100%
- Homeoffice
- Englisch
- Master
- SQL
1 Tag
Data Architect mit einem Flair für AI
ti&m AG —Zürich, ZH
- Englisch
- Java
- Master
Mid / Senior SLAM Engineer
Gravis Robotics —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
Senior (Gen)AI Engineer (all genders) 80–100%
ictjobs.ch —Winterthur, ZH
- 100%
- Homeoffice
- Englisch
- Master
- SQL
- Pendlerbeitrag
- Eltern-/Erziehungsurlaub
9 Std.
Manager / Senior Consultant - Financial Risk Management mit Fokus Kreditrisiko-Modellierung
EY —Zürich, ZH
- Doktorat
- Englisch
- Master
- Weiterbildungsprogramme

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Data Engineering Consultant (w/m/x)
Avanade —Zürich, ZH
Zwischen Data Analysten über Data Engineers bis hin zu IoT- und AI-Experten gibt es einerseits viele Überschneidungen aber auch viele Alleinstellungsmerkmale.
4 Std.

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Research Scientist, Frontier AI, DeepMind

DeepMind -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

100% | Pensum: 90-100%
vor 5 Stunden

Leistungen

Unterkunft

Qualifikationen

Doktorat
Forschungserfahrung
Erfahrung mit Netzwerken
Führungserfahrung
Python

Vollständige Stellenbeschreibung

Minimum qualifications:

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 Google 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 multimodal 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 integrate diverse datasets, particularly across image and text modalities.
Develop and establish benchmarks for evaluating multimodal models across a wide range of 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 workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Jetzt bewerben

Erweiterte Suche

machine learning python Jobs in kanton zürich

Research Scientist, Frontier AI, DeepMind

Data Engineering Consultant (w/m/x)

Senior Software Engineer - Distributed Systems

Quant Engineer - Capital Market Technologies

Tech Lead Manager, Freshness and Factuality, GeminiApp, DeepMind

DevOps Engineer /Deployment Manager

Senior (Gen)AI Engineer (all genders)

Data Architect mit einem Flair für AI

Mid / Senior SLAM Engineer

Senior (Gen)AI Engineer (all genders) 80–100%

Manager / Senior Consultant - Financial Risk Management mit Fokus Kreditrisiko-Modellierung

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