11 beste Stellen als data science phd in zürich zh – aktuell auf Personalsuche

Software Engineer III, Infrastructure
Google —Zürich, ZH
- 100%
- Informatik
- Doktorat
- Master
7 Tage
PO&T Commercial Asset Development Leader
Biogen —Baar, ZG
- 100%
- Management-Erfahrung
- Doktorat
- Master
Senior Software Engineer, Embedded, Syntec
Google —Zürich, ZH
- 100%
- Informatik
- Doktorat
- Master
1 Tag
Staff Forward Deployed Engineer, GenAI, Google Cloud
Google —Zürich, ZH
- 100%
- Microsoft Excel
- Doktorat
- Master
Locomotion & Whole-Body Control Engineer (human)
Neura Robotics —Zürich, ZH
- 100%
- Doktorat
- Master
- C++
Direkt bewerben
6 Tage
Head Climate Certificates & Dry Bulk Trading (f/m/d)
Axpo Group —Baden, AG
- Teilzeit
- Hybrides Arbeiten
- Doktorat
- Master
- Kommunikationsfähigkeit
- Eltern-/Erziehungsurlaub
- Pensionskasse
Senior Staff Forward Deployed Engineer, GenAI, Google Cloud
Google —Zürich, ZH
- 100%
- Microsoft Excel
- Doktorat
- Master
Senior Software Engineer - Distributed Systems
Decentriq —Zürich, ZH
- Teilzeit
- Hybrides Arbeiten
- Doktorat
- Master
- Bachelor
Direkt bewerben
Senior Staff Software Engineer, Automotive AI
Google —Zürich, ZH
- 100%
- Doktorat
- Java
- Master
14 Tage
Mid / Senior SLAM Engineer
Gravis Robotics —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
Senior AdTech Engineer - Freelance (80-100%, remote/Zurich/Berlin)
Decentriq —Zürich, ZH
- Teilzeit
- Hybrides Arbeiten
- Management-Erfahrung
- Doktorat
- Master
Direkt bewerben

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Software Engineer III, Infrastructure

Google -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

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

Leistungen

Unterkunft

Qualifikationen

Informatik
Doktorat
Master
C++
Bachelor
Hardware
Softwareentwicklung
Debugging

Vollständige Stellenbeschreibung

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in C++ or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
2 years of experience in performance optimization.
1 year of experience with debugging, troubleshooting and monitoring systems.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures and algorithms.
Experience developing accessible technologies.

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.In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Responsibilities

Work on serving and indexing infrastructure that is currently serving millions, identify bottlenecks and deploy robust solutions.
Design, implement and execute a robust roll-out plan for the multiple components involved in model refreshes.
Work with clients inside and outside of Search to understand their requirements and define their deployment strategy.
Evaluate and analyze the performance of the various infrastructure components to identify their limitations and avenues for improvement.
Collaborate with software site reliability engineers and core on designing and implementing best practices to improve the existing Machine Learning (ML) infrastructure.

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

data science phd Jobs in zürich zh

Software Engineer III, Infrastructure

PO&T Commercial Asset Development Leader

Senior Software Engineer, Embedded, Syntec

Staff Forward Deployed Engineer, GenAI, Google Cloud

Locomotion & Whole-Body Control Engineer (human)

Head Climate Certificates & Dry Bulk Trading (f/m/d)

Senior Staff Forward Deployed Engineer, GenAI, Google Cloud

Senior Software Engineer - Distributed Systems

Senior Staff Software Engineer, Automotive AI

Mid / Senior SLAM Engineer

Senior AdTech Engineer - Freelance (80-100%, remote/Zurich/Berlin)

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Ich möchte aktuelle Job-E-Mails für Stellen als data science phd in zürich zh erhalten

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