6 meilleures offres (computing systems engineer) (à pourvoir)

Software Engineer III, Cloud AI Research, Co-Scientist
Google —Zürich, ZH
- 100%
- Conception de systèmes
- Recherche
- C++
6 h
Health & Safety Manager, Data Center Health and Safety , Data Center Health and Safety
Amazon Data Services Switzerland GmbH —Zürich, ZH
- 100%
- Anglais
- AWS
- Construction et rénovation
Machine Learning Engineer
Giotto.ai —Lausanne, VD
- 100%
- Télétravail
- Niveau Doctorat
- Python
Postuler rapidement
Sales Engineer (DACH Region)
Fortanix —Suisse
- 100%
- Télétravail
- AWS
- Scripting
- Python
Postuler rapidement
Senior Performance Engineer
NVIDIA —Zürich, ZH
- 100%
- Niveau Master
- Esprit d'analyse
- C++
1 h
Sr. Delivery Consultant - Security, Global ProServe Security
AWS EMEA SARL (Switzerland Branch) —Zürich, ZH
- 100%
- AWS
6 h

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Software Engineer III, Cloud AI Research, Co-Scientist

Google -
Zürich, ZH

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Détails de l'emploi

100% | Temps de travail : 90-100%
Il y a 6 heures

Avantages

Logement

Qualifications

Conception de systèmes
Recherche
C++
Niveau Licence
Développement logiciel
Python
Debugging

Description complète du poste

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in Python, or 1 year of experience with an advanced degree.
1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
1 year of experience with Research and Artificial Intelligence.

Preferred qualifications:

2 years of experience with data structures and algorithms.
Experience with software development in C++.
Experience with system design, distributed computing, machine learning.
Experience with Research publications.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Cloud AI Research - Co-Scientist is a research team with the mission to accelerate scientific discovery with AI. In this role, you will develop a system for scientific discovery which entails literature research, data analysis, hypothesis generation and validation. The ultimate goal is to build a system that assists scientists from diverse fields with their hardest problems. You will use Google’s latest AI tools and models and have the opportunity to collaborate with scientists in Google and from universities and partner labs.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

Responsibilities

Develop projects and components end-to-end on the Cloud software stack.
Build, and deploy agentic AI systems, robust tool-use mechanisms, and multi-agent workflows.
Analyze datasets, make data driven decisions, develop quality criteria and scoring rubics for AI systems.
Collaborate with scientists and researchers across Google DeepMind, Google Research, and prestigious external academic partners to publish original research.

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.

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computing systems engineer emplois

Software Engineer III, Cloud AI Research, Co-Scientist

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