Software Engineer III, Search Ads, Quality and AI

Google; Zürich; Vor Ort; CHF 120.000 - 170.000; Vollzeit

Zusammenfassung

Google Zurich is seeking a Software Engineer III, Search Ads, Quality and AI to help advance large-scale advertising and AI-powered search experiences. You will work on critical projects across the stack, from design to deployment, contributing to high-impact products that power billions of interactions.

The role emphasizes mentoring teammates, collaborating with researchers, and staying current with machine learning advances, including LLMs and deep learning, to deliver reliable, scalable

Qualifikationen

• Bachelor’s degree or equivalent practical experience.
• 3 years of experience with software development in C++ and Python or 1 year with an advanced degree.
• 2 years of experience with machine learning tools and algorithms, deploying LLMs and deep learning models.

Aufgaben

• Own projects end-to-end from initial idea to design, analysis, and implementation.
• Perform model training, evaluation, and deployment to solve business-critical problems.
• Understand production systems, visualize, monitor, and optimize performance.
• Stay up-to-date with latest tools and research in the field working actively with our collaborators.

Kenntnisse

C++

Python

LLMs

Ausbildung

Bachelor's degree or equivalent

Master's degree or PhD in CS or related

Tools

ML Tools

Algorithms

Jobbeschreibung

Software Engineer III, Search Ads, Quality and AI

Google – Zurich, Switzerland

Mid level: Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 3 years of experience with software development in C++ and Python or 1 year of experience with an advanced degree.
• 2 years of experience with machine learning tools and algorithms, specifically deploying Large Language Models (LLMs) and deep learning models.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures and algorithms.
• 1 year of experience testing, maintaining, or launching software products.
• Knowledge of machine learning algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and Generative AI.

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

• Own projects end-to-end from initial idea to design, analysis, and implementation.
• Perform model training, evaluation, and deployment to solve business-critical problems. This includes exploration of new model architectures, augmenting existing training data, finding better evaluation methods and feedback signals, and identifying headroom opportunities.
• Understand production systems, visualize, monitor, and optimize performance.
• Stay up-to-date with latest tools and research in the field working actively with our collaborators.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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