Software Engineer, Cloud AI Research, Co-Scientist Corporate fare: Google
Location: Zürich, Switzerland
Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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 to 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.
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.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
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.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.
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Location: Zürich, Switzerland
Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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 to 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.
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.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
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.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.
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Software Engineer, Cloud AI Research, Co-Scientist Arbeitgeber: Google
Google bietet eine herausragende Arbeitsumgebung in Zürich, die von Innovation und Teamarbeit geprägt ist. Als Senior OT Cloud Security Engineer profitieren Sie von umfangreichen Entwicklungsmöglichkeiten und einem starken Fokus auf Mitarbeiterwohlbefinden. Die Unternehmenskultur fördert Kreativität und Zusammenarbeit, während Sie an bedeutenden Projekten arbeiten, die die Sicherheit und den Schutz der Nutzer gewährleisten.
