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

Senior Staff Software Engineer, Full Stack
Google —Zürich, ZH
- De 262 000 CHF à 364 000 CHF par an
- 100%
- Java
- Esprit d'analyse
- C++
R&D Scientist – Scientific Data Analytics (d/f/m)
Genedata —Bâle, BS
- 100%
- Niveau Doctorat
- Analyse de données
- Java
Lab Compute Analyst
Zifo RnD Solutions —Bâle, BS
- 100%
- Télétravail
- Informatique
- Service client
- Expérience en laboratoire
Software Engineer III, Data Protection Acceleration
Google —Zürich, ZH
- 100%
- Informatique
- Niveau Doctorat
- Niveau Master
il y a 11 jours
Machine Learning Scientist II
Expedia —Genève, GE
- 100%
- Analyse de données
- Conception de systèmes
- Niveau Licence
il y a 3 jours

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Senior Staff Software Engineer, Full Stack

Google -
Zürich, ZH

Soumettre votre candidature

Détails de l'emploi

100% | Temps de travail : 90-100%
De 262 000 CHF à 364 000 CHF par an

Avantages

Logement

Qualifications

CSS
Java
Esprit d'analyse
C++
Niveau Licence
JavaScript
Développement logiciel
Google Ads
Python
HTML

Description complète du poste

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

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Zürich, Switzerland; New York, NY, USA.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
7 years of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
5 years of experience with design and architecture; and testing/launching software products.
3 years of experience in performance analysis including large-scale distributed systems, machine learning optimization and performance optimization.
Experience in machine learning and performance optimization.

Preferred qualifications:

Deep understanding of performance optimization within a constrained environment.
Familiarity with how AI-driven signals and ML models translate into retail-specific business value and user-facing improvements.
Ability to synthesize complex datasets and various performance metrics into actionable strategic insights and clear technical roadmaps.
Ability to navigate ambiguity and "connect the dots" across various product areas to build a cohesive, long-term vision for retail advertising.
Ability to balance trade-offs between automated value delivery and system limitations.
Proven track record of leading complex, multi-disciplinary projects from conception to execution, and ability to influence and align stakeholders across engineering, product, and sales.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

As we enter the age of AI transformation on search, we have a need to improve the user understanding, advertiser intent and LTV value definition to power automated value delivery for retailers.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Own the technical and strategic roadmap for retail signals, goals and optimization.
Improve the user understanding, advertiser intent and LTV value definition to power automated value delivery for retailers.
Work with PMs and executives, identify the right areas of improvements, making sure all the areas come together. For example, how we consolidate different tools for value adjustments and use consistently across predictions and optimization.
Work with senior cross-product area partners to leverage their expertise and 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.

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computing systems engineer emplois

Senior Staff Software Engineer, Full Stack

R&D Scientist – Scientific Data Analytics (d/f/m)

Lab Compute Analyst

Software Engineer III, Data Protection Acceleration

Machine Learning Scientist II

Other jobs to consider

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