9 beste Stellen als science machine learning python in zürich, zh – aktuell auf Personalsuche

Software Engineer III, GenAI Safety
Google —Zürich, ZH
- 100%
- Java
- SQL
- C++
7 Std.
Senior Data Engineer
Zühlke —Schlieren, ZH
- 100%
- Homeoffice
- Microsoft Excel
- Englisch
- Java
- Homeoffice-Möglichkeit
Senior Software Research Engineer
Align Technology —Zürich, ZH
- 100%
- Doktorat
- CAD
- Englisch
Direkt bewerben
PhD Position in Human–Computer Interaction and Extended Reality in Architectural Design and Fabrication
ETH Zürich —Zürich, ZH
- 100%
- Englisch
- Forschungserfahrung
- Bachelor
AI & Data Consultant – Tax and Legal Innovation
PwC —Zürich, ZH
- 100%
- Management-Erfahrung
- Englisch
- Forschungserfahrung
Principal Navigation Software Engineer
u-blox —Thalwil, ZH
- Doktorat
- Englisch
- Master
Tech Lead Manager, Freshness and Factuality, GeminiApp, DeepMind
DeepMind —Zürich, ZH
- 100%
- Informatik
- Doktorat
- Master
1 Tag
Mid / Senior SLAM Engineer
Gravis Robotics —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
Senior Software Engineer - Distributed Systems
Decentriq —Zürich, ZH
- Teilzeit
- Hybrides Arbeiten
- Doktorat
- Master
- Bachelor
Direkt bewerben

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Software Engineer III, GenAI Safety

Google -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

100% | Pensum: 90-100%
vor 7 Stunden

Leistungen

Unterkunft

Qualifikationen

Java
SQL
C++
Bachelor
Softwareentwicklung
Betrugsprävention & -erkennung
Python

Vollständige Stellenbeschreibung

Minimum qualifications:

Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
2 years of experience with software development in one or more programming languages (Python, C++, Go or Java), or 1 year of experience with an advanced degree in an industry setting.
Experience in Machine Learning or Artificial Intelligence.

Preferred qualifications:

Experience with large-scale data processing pipelines and tools (e.g., Flume, SQL).
Experience with anti-abuse systems, fraud detection, or security.
Experience with AI driven development and Agentic workflows.

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.

As a Software Engineer on the Google DeepMind Abuse team, you will be at the forefront of protecting Google DeepMind's Generative AI products from misuse. You will design, build, and scale account-centric detection systems within the GenAI Safety Platform, ensuring a safe experience for millions of users while enabling the full potential of our AI models

You will be working on a mission-critical team at the intersection of Generative AI and abuse fighting, one of the most dynamic and challenging fields at Google. This role offers the unique opportunity to shape the safety and trustworthiness of groundbreaking AI products used by millions, develop innovative solutions to novel abuse vectors specific to GenAI, and contribute to a safer online environment and ensure AI is used responsibly.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities

Design, build, and maintain components of our account-centric abuse detection systems on the GenAI Safety Platform.
Develop and implement classifiers to identify policy-violation and abusive behavior in near real-time, leveraging account-level signals.
Collaborate with other engineers to integrate detection systems with enforcement mechanisms like strikes and limited disabilities.
Analyze data to understand abuse patterns and improve the effectiveness of our detection methods.
Write and test production-quality code, and participate in code reviews.

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

science machine learning python Jobs in zürich, zh

Software Engineer III, GenAI Safety

Senior Data Engineer

Senior Software Research Engineer

PhD Position in Human–Computer Interaction and Extended Reality in Architectural Design and Fabrication

AI & Data Consultant – Tax and Legal Innovation

Principal Navigation Software Engineer

Tech Lead Manager, Freshness and Factuality, GeminiApp, DeepMind

Mid / Senior SLAM Engineer

Senior Software Engineer - Distributed Systems

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