15 beste Stellen als software engineer iii, retail advertiser intelligence in zug zg – aktuell auf Personalsuche

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YouTube —Zürich, ZH
- 100%
- Informatik
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- Datenanalyse
5 Tage
Software Engineer III, YouTube Ads
YouTube —Zürich, ZH
- 100%
- Informatik
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- Master
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Google —Zürich, ZH
- 100%
- Forschungserfahrung
- C++
- Bachelor
5 Tage
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Google —Zürich, ZH
- 100%
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Google —Zürich, ZH
- 100%
- C++
- Bachelor
- Ohne Hochschulabschluss
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Software Engineer III, Database Systems
Google —Zürich, ZH
- 100%
- Informatik
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- Master
Software Engineer III, AI/ML, Gemini Integration/Customisation
Google —Zürich, ZH
- CHF 106’000 - CHF 109’000 pro Jahr
- 100%
- Informatik
- Doktorat
- Forschungserfahrung
10 Tage
Engineer III, AI/ML, Online Calibration, XR
Google —Zürich, ZH
- 100%
- Doktorat
- Master
- C++
11 Std.
Software Engineer III, AI/ML, DSP/HTP Optimisation
Google —Zürich, ZH
- 100%
- Informatik
- Doktorat
- Master
7 Tage
Software Engineer III, ML Pipeline Development, XR
Google —Zürich, ZH
- 100%
- Analysefähigkeit
- C++
- Bachelor
5 Tage
Temporal Interference Stimulation in the Brain: Modeling and Optimization (Software/Support Engineer)
IT'IS Foundation —Zürich, ZH
- Doktorat
- Englisch
- Master
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IT'IS Foundation —Zürich, ZH
- Doktorat
- Englisch
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Software Engineer III, Retail Advertiser Intelligence

Google -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

100% | Pensum: 90-100%
vor 11 Stunden

Leistungen

Unterkunft

Qualifikationen

Doktorat
CSS
Java
Master
SQL
C++
Bachelor
JavaScript
Softwareentwicklung
Google Ads
Python
HTML

Vollständige Stellenbeschreibung

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
2 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.

Preferred qualifications:

Master's degree or PhD in Computer Science, or a related technical field.
2 years of experience with data structures and algorithms.
Experience working with large-scale infrastructure and data processing pipelines.
Experience in data processing, aggregation and reporting.
Coding experience in multiple languages, showing flexibility (e.g., C++, Java, SQL, Python).

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. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

Responsibilities

Develop and maintain the core reporting infrastructure: Reporting Servers, Dynamo.
Work with Product Management (PM) and User Experience (UX) to understand product requirements and develop the features.
Be a part of oncall rotations, and keeping the system healthy.
Design and improve advertiser experience latency.

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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