Software Engineer, Cloud AI Research, Co-Scientist
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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.
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