Software Engineer, Cloud AI Research, Co-Scientist
Google
13 hours ago
Full-time
On-site
Zürich, ZH
JobsCloseBy Editorial Insights
Google is seeking a Software Engineer, Cloud AI Research, Co-Scientist in Zurich to own projects from design and prototyping through deployment and analysis. You will design, build, deploy, and scale agentic AI systems and multi-agent workflows, and build robust evaluation pipelines and diagnostic datasets. Qualified applicants have a bachelor’s degree or equivalent, five years of software development experience, strong Python and C++ skills, and hands-on deep learning with agentic frameworks, plus a track record turning research into concrete features or publications. To apply, tailor your resume to highlight end-to-end delivery, independent research, and measurable impact, provide examples of collaboration with scientists, and include links to code or papers.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages, and with data structures and algorithms.
Preferred qualifications:
- Background in Computer Science, Applied Mathematics, Computational Biology, or a related technical field.
- Strong hands-on experience with deep learning and agentic frameworks and developing in both Python and C++.
- Proven track record of carrying out quantitative data analysis and translating complex research ideas into concrete engineering features.
- Ability to drive independent research from initial ideas to publication or product implementation.
About the job
Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.Co-Scientist is a research team with the mission to accelerate scientific discovery with Artificial Intelligence (AI). We do much of the research behind Google’s Co-Scientist product which is an Agentic AI system for science. We also work with exceptional scientists inside and outside of Google on some of their biggest challenges.
In this role you will develop a system for scientific discovery which entails literature research, data analysis, and hypothesis generation and validation. You will use Google’s latest AI tools and models while having the opportunity to collaborate with exceptional scientists at Google, partner universities, and research labs.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.In this role you will develop a system for scientific discovery which entails literature research, data analysis, and hypothesis generation and validation. You will use Google’s latest AI tools and models while having the opportunity to collaborate with exceptional scientists at Google, partner universities, and research labs.
Co-Scientist is a research team with the mission to accelerate scientific discovery with Artificial Intelligence (AI). We do much of the research behind Google’s Co-Scientist product which is an Agentic AI system for science. We also work with exceptional scientists inside and outside of Google on some of their biggest challenges.
In this role you will develop a system for scientific discovery which entails literature research, data analysis, and hypothesis generation and validation. You will use Google’s latest AI tools and models while having the opportunity to collaborate with exceptional scientists at Google, partner universities, and research labs.
In this role you will develop a system for scientific discovery which entails literature research, data analysis, and hypothesis generation and validation. You will use Google’s latest AI tools and models while having the opportunity to collaborate with exceptional scientists at Google, partner universities, and research labs.
Responsibilities
- Own projects end-to-end, taking software systems from initial design and prototyping to full deployment and analysis.
- Design, build, deploy, and scale agentic AI systems, robust tool-use mechanisms, and multi-agent tournament workflows.
- Build robust system evaluation pipelines and curate diagnostic datasets to systematically measure agentic accuracy and progress.