Software Engineer, Search Ads in AI Experiences

Google; Zürich; Vor Ort; CHF 150.000 - 210.000; Vollzeit

Zusammenfassung

Google is seeking software engineers in an on-site capacity in Zürich, Switzerland, to join our AI and ads targeting initiatives. You will work on end-to-end projects involving model training, evaluation, and deployment, while exploring new architectures and improving production systems.

The role emphasizes collaboration with Google Research and DeepMind, advancing AI across ads and information retrieval, with opportunities to switch teams as priorities evolve.

Qualifikationen

• Bachelor's degree or equivalent practical experience.
• 5+ years of software development in C++ and Python.
• 3+ years in ML areas like deep learning, reinforcement learning, or specialization in another ML field.
• 3+ years experience with ML infrastructure: deployment, evaluation, data processing, debugging.
• 3+ years experience testing, maintaining, or launching software products, and 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 the latest tools and research in the field, collaborating with Google Research and Deep Mind.

Kenntnisse

ML concepts

Deep learning

Reinforcement learning

NLP / CV understanding

Ausbildung

Bachelor's degree or equivalent practical experience

Master's degree or PhD preferred

Tools

C++

Python

Model deployment

ML infrastructure

Jobbeschreibung

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

Minimum qualifications:

• 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 developing accessible technologies.
• 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 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 .