Software Engineer, Search Ads in AI Experiences

Google LLC; Zürich; Vor Ort; CHF 140.000 - 210.000; Vollzeit

Zusammenfassung

Google LLC is seeking a Software Engineer for Search Ads in AI Experiences. The role focuses on end-to-end development of scalable AI-powered features, with emphasis on model training, evaluation and deployment for high-volume search experiences.

The project spans collaboration with Google Research and DeepMind, aiming to push the frontier of AI-enabled advertising at massive scale. Strong software design, systems thinking, and leadership are valued as the team innovates at pace.

Qualifikationen

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

Aufgaben

• Own projects end-to-end from idea to design, analysis, and implementation.
• Train, evaluate, and deploy models; explore new architectures and improve data; identify headroom opportunities.
• Understand production systems; visualize, monitor, and optimize performance.
• Collaborate with Google Research and Deep Mind on state-of-the-art AI work.

Kenntnisse

C++

Python

Deep Learning

Reinforcement Learning

ML Infrastructure

Software Testing

Software Design & Architecture

Ausbildung

Bachelor's degree

Master's degree (preferred)

Tools

TensorFlow

PyTorch

Distributed systems

Jobbeschreibung

Software Engineer, Search Ads in AI Experiences

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 at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.

Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

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.

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.