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Research Engineer, Generative AI, Cloud AI Research, Co-Scientist - Google Careers

Job in Zürich, 8081, Zurich, Kanton Zürich, Switzerland
Listing for: Google LLC
Full Time position
Listed on 2026-10-12
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer, Machine Learning/ ML Engineer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 180000 - 240000 CHF Yearly CHF 180000.00 240000.00 YEAR
Job Description & How to Apply Below
Position: Staff Research Engineer, Generative AI, Cloud AI Research, Co-Scientist - Google Careers
Location: Zürich

Share Staff Research Engineer, Generative AI, Cloud AI Research, Co-Scientist

X 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, including testing and launching software products.
  • 3 years of experience optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 2 years of experience with GenAI techniques (e.g., Large Language Models (LLMs), Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Preferred qualifications:
  • Master's degree, PhD or Postdoc in Computer Science, Applied Math, Computational Sciences, or a related scientific discipline.
  • 3 years of experience with deep learning frameworks (e.g., JAX, Tensor Flow, PyTorch) and algorithmic background.
  • 1 year of experience in a technical leadership role.
  • Experience driving independent, research-adjacent software development and translating academic theories into scalable products.
  • Record of technical or scientific contributions to complex, large-scale projects.
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.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Co-Scientist is a multi-agent AI system built on Gemini designed to act as an autonomous virtual scientific colleague. It utilises a generate, debate, and evolve approach to accelerate scientific discovery enabling researchers to synthesize literature, evaluate hypotheses, and optimise experimental designs.

As a Staff Research Software Engineer (R-SWE), you will act as a principal technical bridge, translating scientific AI research into robust, scalable, and intuitive software systems. You will lead the design…

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