Software Engineer, Search Ads in AI Experiences

Google Inc.; Zürich; Vor Ort; CHF 140.000 - 180.000; Vollzeit

Zusammenfassung

Google is hiring a Software Engineer for Search Ads in AI Experiences in Zürich. The mid-level role focuses on building scalable AI-powered ads experiences, working across AI research, data processing, and production systems.

Candidates should have strong software skills and hands-on ML experience, with a track record in delivering robust systems. In this role you will own projects end-to-end, train and deploy models, and collaborate with teams across Google Research and others.

Qualifikationen

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience in C++ and Python.
• 3 years in deep learning, reinforcement learning, generative AI, or related ML field.
• 3 years in ML infrastructure including model deployment, evaluation, data processing, debugging.
• 3 years testing, maintaining, or launching software products; 1 year in design/architecture.

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 tools and research, collaborating with Google Research and Deep Mind.

Kenntnisse

Cpp and Python

ML concepts

ML infrastructure

Testing & deployment

Ausbildung

Bachelor's degree or equivalent

Master's or PhD (preferred)

Jobbeschreibung

Software Engineer, Search Ads in AI Experiences

Mid

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

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

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in C++ and Python.
• 3 years of experience with one or more of the following: deep learning, reinforcement learning, generative AI, or specialization in another ML field.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.
• Experience with machine learning, data science, statistics, natural language processing, computer vision, etc.

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.

The Ads Targeting team is responsible for one of the highest-priority initiatives at Google: reinventing Search Ads for the AI era (AI Overview, AI Mode). Our mission is to ensure that as Search experience evolves with AI, we unlock new ways for users to discover and engage with businesses through seamless, next-generation commercial experiences. We are a team of risk-takers and builders, responsible for experimenting with rapid velocity to define the next decade of Google’s revenue engine.

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 the latest tools and research in the field, working with our collaborators in Google Research and Deep Mind.

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/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 .

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.