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Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products handle information at massive scale and extend well beyond web search. We are looking for engineers who bring fresh ideas from areas such as information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile. 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 engineers who are versatile, display leadership qualities, and are enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. Joining the Search team offers an opportunity to make an impact on billions of people globally.

Tasks

  • Design, train, test, and deploy core ranking and machine learning models for Google Search.
  • Build and maintain data pipelines to transition training data from human ratings to LLM-generated labels, utilizing SFT and RL techniques.
  • Contribute to model distillation pipelines, transferring knowledge from large teacher models to efficient production student models.
  • Write and maintain model training and large-scale batch processing infrastructure using Python and C++.
  • Collaborate with peers through design and code reviews, evaluate A/B experiments, and integrate model improvements.

Requirements

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
  • Master's degree or PhD in Computer Science or related technical fields (preferred).
  • Experience programming in C++ (preferred).
  • Experience with or strong interest in model distillation, knowledge transfer, or teacher-student model architectures (preferred).
  • Experience processing large datasets or fine-tuning models utilizing Large Language Models (Prompting, SFT, RL) (preferred).
  • Experience with ML frameworks (e.g., JAX, TensorFlow, or PyTorch) and performance optimization (preferred).
  • Familiarity with search ranking systems, information retrieval metrics, and handling long-tail data distributions (preferred).
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Über uns
Google Switzerland GmbH ist ein Technologieunternehmen im Bereich Internetdienste und Softwareentwicklung. Das Unternehmen entwickelt und betreibt digitale Produkte und Dienstleistungen, insbesondere in den Bereichen Suche, Online-Werbung, Cloud-Lösungen und Software. In der Schweiz fungiert Google als Standort für Engineering, Forschung sowie Vertriebs- und Geschäftsentwicklung und unterstützt die globale Produktentwicklung und Vermarktung.
Das Team

The team develops models that power web ranking for Google Search, focusing on improving performance for challenging, long-tail queries using modeling, experimentation, and scalable engineering.

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