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

Software Engineer II, YouTube Trust and Safety, Responsiveness
YouTube —Zürich, ZH
- 100%
- Java
- Niveau Master
- C++
9 h
Software Engineer II, GenAI Safety, Google Core
Google —Zürich, ZH
- 100%
- Java
- SQL
- C++
9 h
(Senior) VMware Solution Architect – 100%
SOULTEC AG —Dübendorf, ZH
- 100%
- Anglais
- Aide au transport
Machine Learning Engineer
Giotto.ai —Lausanne, VD
- 100%
- Télétravail
- Niveau Doctorat
- Python
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Sales Engineer (DACH Region)
Fortanix —Suisse
- 100%
- Télétravail
- AWS
- Scripting
- Python
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Software Engineer II, YouTube Trust and Safety, Responsiveness

YouTube -
Zürich, ZH

Soumettre votre candidature

Détails de l'emploi

100% | Temps de travail : 90-100%
Il y a 9 heures

Avantages

Logement

Qualifications

Java
Niveau Master
C++
Niveau Licence
JavaScript
Développement logiciel
Python

Description complète du poste

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
1 year of experience with data structures and algorithms.

Preferred qualifications:

Master's degree in Computer Science or a related technical field.
1 year of experience working with AI systems and ML concepts.
Experience with infrastructure for complex automation and human aid systems.

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.

Our mission is to protect YouTube and ensure that we offer a safe place for our creators, users and advertisers. Our goal is to understand and detect all content violating YouTube's Community Guidelines, and help our partner teams remove it - at YouTube scale!

We work on human assisted solutions that integrate machine learning and automated solutions that make this possible. We work in partnership with various research teams, other infrastructure and applied AI teams to bring abuse content detection to YouTube.

We are part of Responsiveness effort in Trust and Safety with a mission to Build ML and tooling capabilities to proactively identify threats and ensure the fastest, safest resolution for YouTube Operations teams and users.

Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

Responsibilities

Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Write product or system development code. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Analyze and understand gaps in our rapid response systems. Apply novel machine learning methods to address a variety of Trust and Safety issues.
Build systems, infrastructure and classifiers to improve our content detection capabilities by orchestrating signals from various expert models, and to make the most effective use of our human content reviewers.

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 II, YouTube Trust and Safety, Responsiveness

Software Engineer II, GenAI Safety, Google Core

(Senior) VMware Solution Architect – 100%

Machine Learning Engineer

Sales Engineer (DACH Region)

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