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

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 world-class 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, hypothesis generation and validation. You will use Google-s latest AI tools and models and have the opportunity to collaborate with world-class scientists in Google and from universities and partner 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.
• Collaborate with world-class scientists and researchers across Google DeepMind, Google Research, and prestigious external academic partners to publish original research.